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Paper Citation Record · LEDGER

PD-SORT: Occlusion-Robust Multi-Object Tracking Using Pseudo-Depth Cues

As of 14 August 2026, this Paper Citation Record lists 60 of 60 outbound references and 0 inbound Pith citation observations for arXiv:2501.11288.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2501.11288 v1

Coverage vector

measured 60 of 60 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T18:32:49.477438Z

measured 60 of 60 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

60 of 60 outbound references displayed

  • verified exact0
  • verified fuzzy47
  • unresolved13
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2f4bc0ac-d69f-4452-a081-3a320c82cd3c · outbound

This paper cites Exploring simple 3d multi-object tracking for autonomous driving,.

PD-SORT: Occlusion-Robust Multi-Object Tracking Using Pseudo-Depth Cues Exploring simple 3d multi-object tracking for autonomous driving,

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation cb074ba8-9d32-47f0-896d-8675ca7a9a2b · outbound

This paper cites Multi-object tracking co- processor for multi-channel embedded dvr systems,.

PD-SORT: Occlusion-Robust Multi-Object Tracking Using Pseudo-Depth Cues Multi-object tracking co- processor for multi-channel embedded dvr systems,

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 986ac092-beb9-4f25-9efe-4205995ade7b · outbound

This paper cites A novel tracking algorithm using thermal and optical cameras fused with mmwave radar sensor data,.

PD-SORT: Occlusion-Robust Multi-Object Tracking Using Pseudo-Depth Cues A novel tracking algorithm using thermal and optical cameras fused with mmwave radar sensor data,

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 4727f3ea-e14c-48c3-9473-b83eec3fbf2c · outbound

This paper cites Bandt: A border-aware network with deformable transformers for visual tracking,.

PD-SORT: Occlusion-Robust Multi-Object Tracking Using Pseudo-Depth Cues Bandt: A border-aware network with deformable transformers for visual tracking,

Reference 4

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raw_fallback, observed 2026-08-10T18:32:50.157553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 5042e99c-057f-4ef0-a575-5244d2bc687f · outbound

This paper cites Human video instance segmen- tation and tracking via data association and single-stage detector,.

PD-SORT: Occlusion-Robust Multi-Object Tracking Using Pseudo-Depth Cues Human video instance segmen- tation and tracking via data association and single-stage detector,

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 2152162e-76b4-4900-afa9-d6716076ba85 · outbound

This paper cites Simple online and realtime tracking,.

PD-SORT: Occlusion-Robust Multi-Object Tracking Using Pseudo-Depth Cues Simple online and realtime tracking,

Reference 6

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raw_fallback, observed 2026-08-10T18:32:50.137481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 963c6537-5f1a-4ec4-ac06-c269e5caa36f · outbound

This paper cites High-speed tracking-by- detection without using image information,.

PD-SORT: Occlusion-Robust Multi-Object Tracking Using Pseudo-Depth Cues High-speed tracking-by- detection without using image information,

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T18:32:49.277111Z digest=sha256:9ae49a22116876cc83bc12861dc029b21d856b28fd9c1f2e948a441298cf7cd7

Observation 5ef82084-1c7b-4921-8f81-d7c58832cd86 · outbound

This paper cites Simple online and realtime tracking with a deep association metric,.

PD-SORT: Occlusion-Robust Multi-Object Tracking Using Pseudo-Depth Cues Simple online and realtime tracking with a deep association metric,

Reference 8

Resolution
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raw_fallback, observed 2026-08-10T18:32:50.115542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 9d129605-b524-43eb-a54d-0462c18ada72 · outbound

This paper cites Bytetrack: Multi-object tracking by associating every detection box,.

PD-SORT: Occlusion-Robust Multi-Object Tracking Using Pseudo-Depth Cues Bytetrack: Multi-object tracking by associating every detection box,

Reference 9

Resolution
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raw_fallback, observed 2026-08-10T18:32:50.103151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T18:32:49.284338Z digest=sha256:3e649c2cad3c5728387abcd3a6fa1cb1447c9246be22172fb895c8b847864353

Observation 56531aae-b233-4d4d-9f86-5f07d5745c98 · outbound

This paper cites Observation- centric sort: Rethinking sort for robust multi-object tracking,.

PD-SORT: Occlusion-Robust Multi-Object Tracking Using Pseudo-Depth Cues Observation- centric sort: Rethinking sort for robust multi-object tracking,

Reference 10

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T18:32:49.288040Z digest=sha256:6ea4463a4884f01c636bde7823e6d5c97d8e1d4d916bbdb866c41aa312c5c1b4

Observation 9e31e5b7-f08f-436e-b8fd-002a81b3d454 · outbound

This paper cites Faster r-cnn: Towards real-time object detection with region proposal networks,.

PD-SORT: Occlusion-Robust Multi-Object Tracking Using Pseudo-Depth Cues Faster r-cnn: Towards real-time object detection with region proposal networks,

Reference 11

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T18:32:49.291729Z digest=sha256:0fb8547db04c33295ff971ef32713cd2ca31a01fadb5fe1a2c66b62a570f9e69

Observation 5ac841b8-13d2-4005-a172-4f429bf5cea9 · outbound

This paper cites YOLOX: Exceeding YOLO Series in 2021.

PD-SORT: Occlusion-Robust Multi-Object Tracking Using Pseudo-Depth Cues YOLOX: Exceeding YOLO Series in 2021

Reference 12

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no resolver link, observed 2026-08-10T18:32:49.295283Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:32:49.295283Z digest=sha256:eac6b9d3d73a97bcfce988689871c32f470bc42a93009cced670ba972b08d1c6

Observation 92b2b437-c845-429a-ae67-aa615ba8cd2d · outbound

This paper cites On implementing 2d rectangular assignment algorithms,.

PD-SORT: Occlusion-Robust Multi-Object Tracking Using Pseudo-Depth Cues On implementing 2d rectangular assignment algorithms,

Reference 13

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raw_fallback, observed 2026-08-10T18:32:50.068914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T18:32:49.299416Z digest=sha256:96ea397db7fe50ea863cce5b8e61532959773c712c8274f93adac8bd11d2a419

Observation 53a4f87a-fd54-498c-a9f2-2233e4d23610 · outbound

This paper cites Dancetrack: Multi-object tracking in uniform appearance and diverse motion,.

PD-SORT: Occlusion-Robust Multi-Object Tracking Using Pseudo-Depth Cues Dancetrack: Multi-object tracking in uniform appearance and diverse motion,

Reference 14

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raw_fallback, observed 2026-08-10T18:32:50.057544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T18:32:49.303086Z digest=sha256:e68df1d7615330f3e83d467f348fdbdb5b1951264481069c8077b6f881baa9f9

Observation bc1d58a4-619e-4a46-9583-a7fb9502a81c · outbound

This paper cites SparseTrack: Multi-Object Tracking by Performing Scene Decomposition based on Pseudo-Depth.

PD-SORT: Occlusion-Robust Multi-Object Tracking Using Pseudo-Depth Cues SparseTrack: Multi-Object Tracking by Performing Scene Decomposition based on Pseudo-Depth

Reference 15

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:32:49.306619Z digest=sha256:b95910330424c0feb5f497a590ca8750e6ac471a5064ad8dad6f541a2bef9040

Observation 12517307-0a55-44b4-a08b-c32bdc76495e · outbound

This paper cites Contributions to the theory of optimal control,.

PD-SORT: Occlusion-Robust Multi-Object Tracking Using Pseudo-Depth Cues Contributions to the theory of optimal control,

Reference 16

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:32:49.310590Z digest=sha256:f0b01c982a701ed329509367a452da25f7aece42b2f4d92bdac6e1cfcce2f365

Observation b56833b0-58ff-4af6-bf83-cecb21397c52 · outbound

This paper cites Generalized intersection over union: A metric and a loss for bound- ing box regression,.

PD-SORT: Occlusion-Robust Multi-Object Tracking Using Pseudo-Depth Cues Generalized intersection over union: A metric and a loss for bound- ing box regression,

Reference 17

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no resolver link, observed 2026-08-10T18:32:49.313811Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:32:49.313811Z digest=sha256:12f5debc032d9c333cfc74d87df2858efea6434dbfa97a7d2323c618a2cc5bf6

Observation 68dd3b1c-7c6c-4bd0-a3f6-49981f657a01 · outbound

This paper cites BoT-SORT: Robust Associations Multi-Pedestrian Tracking.

PD-SORT: Occlusion-Robust Multi-Object Tracking Using Pseudo-Depth Cues BoT-SORT: Robust Associations Multi-Pedestrian Tracking

Reference 18

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:32:49.316820Z digest=sha256:494d4c1714e4601850301a3343b7b517acbbd4df6a10a78fc88f30febc62965f

Observation c8a7bca3-122e-41f1-a467-ced17da35483 · outbound

This paper cites TransTrack: Multiple Object Tracking with Transformer.

PD-SORT: Occlusion-Robust Multi-Object Tracking Using Pseudo-Depth Cues TransTrack: Multiple Object Tracking with Transformer

Reference 19

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no resolver link, observed 2026-08-10T18:32:49.320273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:32:49.320273Z digest=sha256:1a03388d6205b8e8e6d9ac18dc94e294087b36a2a8b104b5310bbabbb20f7a89

Observation 1636d5db-7d2b-4382-8f87-bdf889df6621 · outbound

This paper cites Track- former: Multi-object tracking with transformers,.

PD-SORT: Occlusion-Robust Multi-Object Tracking Using Pseudo-Depth Cues Track- former: Multi-object tracking with transformers,

Reference 20

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raw_fallback, observed 2026-08-10T18:32:50.032219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T18:32:49.324032Z digest=sha256:c5c2f2c07e939a2ce795a318d28ea071f17954b51cb16a1c0cb0ad986af2809e

Observation 599362e5-d332-4bdd-bb94-db7dc069a251 · outbound

This paper cites Motr: End-to-end multiple-object tracking with transformer,.

PD-SORT: Occlusion-Robust Multi-Object Tracking Using Pseudo-Depth Cues Motr: End-to-end multiple-object tracking with transformer,

Reference 21

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:32:49.327753Z digest=sha256:d73bcae1b3d0ae09bbeda0c797e1d3dd3866be0541db744449cb9fe3f25ad368

Observation 38ef0d4b-536a-4e4a-8aa0-65ed0d7b1ea9 · outbound

This paper cites YOLOv3: An Incremental Improvement.

PD-SORT: Occlusion-Robust Multi-Object Tracking Using Pseudo-Depth Cues YOLOv3: An Incremental Improvement

Reference 22

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no resolver link, observed 2026-08-10T18:32:49.331294Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:32:49.331294Z digest=sha256:5e173c0f63823f9893408af8ab2013d73ebd4e00df4cce392f5a8a917c974a22

Observation b5b68080-df31-45c2-8ce2-ebbed3e81dc6 · outbound

This paper cites Learnable graph matching: Incorporating graph partitioning with deep feature learning for multi- ple object tracking,.

PD-SORT: Occlusion-Robust Multi-Object Tracking Using Pseudo-Depth Cues Learnable graph matching: Incorporating graph partitioning with deep feature learning for multi- ple object tracking,

Reference 23

Resolution
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raw_fallback, observed 2026-08-10T18:32:50.014037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T18:32:49.335516Z digest=sha256:a1a16173c05db294df88fc3d1375214a05e0acfd21ef301af4b67d8d7ad39bc3

Observation 525a62e4-2ee5-4fce-9d00-6094557b90bd · outbound

This paper cites The hungarian method for the assignment problem,.

PD-SORT: Occlusion-Robust Multi-Object Tracking Using Pseudo-Depth Cues The hungarian method for the assignment problem,

Reference 24

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no resolver link, observed 2026-08-10T18:32:49.339512Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:32:49.339512Z digest=sha256:a3007454795bc0900b6f6ffd3d8e03838d078754a8890e88b26cc57057585f24

Observation 7d5cd847-b3d9-46bd-981d-c04ca0ad9396 · outbound

This paper cites Similarity based person re- identification for multi-object tracking using deep siamese network,.

PD-SORT: Occlusion-Robust Multi-Object Tracking Using Pseudo-Depth Cues Similarity based person re- identification for multi-object tracking using deep siamese network,

Reference 25

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raw_fallback, observed 2026-08-10T18:32:49.996127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T18:32:49.343495Z digest=sha256:fa370b9e02bc334e1d661b1b216ed7ad94e9b105168672aa7e40a3c84fbecc4d

Observation 38bec119-c525-4853-8ac1-65db1f79ceed · outbound

This paper cites A strong baseline and batch normalization neck for deep person re-identification,.

PD-SORT: Occlusion-Robust Multi-Object Tracking Using Pseudo-Depth Cues A strong baseline and batch normalization neck for deep person re-identification,

Reference 26

Resolution
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raw_fallback, observed 2026-08-10T18:32:49.985669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T18:32:49.347169Z digest=sha256:c79531610828b8542d5440e627f7a99ca7b0289f869e621c84ada7d9445549ed

Observation ad90b6c1-affa-49e3-9a05-82579ac41eb4 · outbound

This paper cites Fastreid: A pytorch toolbox for general instance re-identification,.

PD-SORT: Occlusion-Robust Multi-Object Tracking Using Pseudo-Depth Cues Fastreid: A pytorch toolbox for general instance re-identification,

Reference 27

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raw_fallback, observed 2026-08-10T18:32:49.974650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T18:32:49.351047Z digest=sha256:a9f6d18afec37477d4ce3e06132f603032b990ef2d105ebe7d19253c166c77b5

Observation 504ec9ba-3c04-4a22-aa79-23ce7b1e8796 · outbound

This paper cites Towards real-time multi-object tracking,.

PD-SORT: Occlusion-Robust Multi-Object Tracking Using Pseudo-Depth Cues Towards real-time multi-object tracking,

Reference 28

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raw_fallback, observed 2026-08-10T18:32:49.965022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T18:32:49.354828Z digest=sha256:339e39c0b9c0d26d780f51db982499c425a225dad02594414e58a2f259201598

Observation 798c1b87-d771-4805-9394-77affea790f7 · outbound

This paper cites Fairmot: On the fairness of detection and re-identification in multiple object tracking,.

PD-SORT: Occlusion-Robust Multi-Object Tracking Using Pseudo-Depth Cues Fairmot: On the fairness of detection and re-identification in multiple object tracking,

Reference 29

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raw_fallback, observed 2026-08-10T18:32:49.955173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T18:32:49.358891Z digest=sha256:1165187994ad06501dbe915efd976aa6cd850a4306567471d9f47851da016f55

Observation 946b1d5d-c5e1-4688-83e3-7b6768294acb · outbound

This paper cites Strong- sort: Make deepsort great again,.

PD-SORT: Occlusion-Robust Multi-Object Tracking Using Pseudo-Depth Cues Strong- sort: Make deepsort great again,

Reference 30

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raw_fallback, observed 2026-08-10T18:32:49.945199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T18:32:49.362729Z digest=sha256:3aff81164c8cf032fb5f7ac4149678fc026e1e11fe63e648f864fc06dd805b84

Observation c7861be9-2375-4e26-8a6a-379acc3b9f07 · outbound

This paper cites Stat: Multi-object tracking based on spatio-temporal topological constraints,.

PD-SORT: Occlusion-Robust Multi-Object Tracking Using Pseudo-Depth Cues Stat: Multi-object tracking based on spatio-temporal topological constraints,

Reference 31

Resolution
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raw_fallback, observed 2026-08-10T18:32:49.934745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T18:32:49.366537Z digest=sha256:81790cfa877ff3e6fecac697118845fbb0dd760841cbcd2f09f653a54bc73a5f

Observation 5a0940e4-07bf-486f-a390-a910f2ec65f2 · outbound

This paper cites Fast re-obj: Real-time object re- identification in rigid scenes,.

PD-SORT: Occlusion-Robust Multi-Object Tracking Using Pseudo-Depth Cues Fast re-obj: Real-time object re- identification in rigid scenes,

Reference 32

Resolution
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raw_fallback, observed 2026-08-10T18:32:49.922785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T18:32:49.370454Z digest=sha256:2bc03d1de575e6bef103a401efe7a024c9810aacb831b3bd13ec9e98a84e7fc2

Observation 71b157a2-f310-4491-9e79-54d7e9b73e53 · outbound

This paper cites AB3DMOT: A Baseline for 3D Multi-Object Tracking and New Evaluation Metrics.

PD-SORT: Occlusion-Robust Multi-Object Tracking Using Pseudo-Depth Cues AB3DMOT: A Baseline for 3D Multi-Object Tracking and New Evaluation Metrics

Reference 33

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no resolver link, observed 2026-08-10T18:32:49.374389Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:32:49.374389Z digest=sha256:4bf987983e8ffafe2d93f42c9da3f4a55d063189c10657b023b8d45d71e6451c

Observation 1f6f4fe9-69d7-4e0a-833e-5692ccb818dc · outbound

This paper cites Center-based 3d object detection and tracking,.

PD-SORT: Occlusion-Robust Multi-Object Tracking Using Pseudo-Depth Cues Center-based 3d object detection and tracking,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:32:49.910559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T18:32:49.378591Z digest=sha256:d81f65511333b7d5099a3f214d43ecb3814e7066775d8e8d3fc1259cd2cf5f94

Observation 0a2a95a7-4f6d-4dbc-8a21-74668affc6f3 · outbound

This paper cites Eagermot: 3d multi-object tracking via sensor fusion,.

PD-SORT: Occlusion-Robust Multi-Object Tracking Using Pseudo-Depth Cues Eagermot: 3d multi-object tracking via sensor fusion,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:32:49.898674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T18:32:49.382507Z digest=sha256:100e02f0c50e36c0b2a9ee4afac5a47a1c4fdd07660468abdb35c03908c78d73

Observation c10cc2d1-2f6a-41a7-845d-e6eb3123d064 · outbound

This paper cites Quo vadis: Is trajectory forecasting the key towards long-term multi-object track- ing?.

PD-SORT: Occlusion-Robust Multi-Object Tracking Using Pseudo-Depth Cues Quo vadis: Is trajectory forecasting the key towards long-term multi-object track- ing?

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:32:49.886529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T18:32:49.386324Z digest=sha256:09e01aadb6e095da0874be8c97818bac61cb3886312274780f4b478eb60b505c

Observation 9d1545b0-cc97-4e8b-937f-3a9db5b544a5 · outbound

This paper cites Depth perspective-aware multiple object tracking,.

PD-SORT: Occlusion-Robust Multi-Object Tracking Using Pseudo-Depth Cues Depth perspective-aware multiple object tracking,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:32:49.874671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T18:32:49.390403Z digest=sha256:b33c80c5946f9c174862e0ade69f2ef880f710cd8c7220bc1647c306c3218418

Observation f5e4b6a7-16a0-4b97-9879-927ef10ea522 · outbound

This paper cites The opencv library.

PD-SORT: Occlusion-Robust Multi-Object Tracking Using Pseudo-Depth Cues The opencv library

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:32:49.862094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T18:32:49.394343Z digest=sha256:9384be480900979ac5e77198dad379bf08f0f7a978590a55594d989075474785

Observation a41025ef-5eeb-4bb2-8e85-be56e773a565 · outbound

This paper cites Good features to track,.

PD-SORT: Occlusion-Robust Multi-Object Tracking Using Pseudo-Depth Cues Good features to track,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:32:49.848887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T18:32:49.398366Z digest=sha256:2f13c0ed983e45ddbf648574da62eca2f549a49e365bb635737ce969d5d3c88d

Observation 9cc9ebb0-9034-40c2-b00d-c0a18d553610 · outbound

This paper cites Pyramidal implementation of the affine lucas kanade feature tracker description of the algorithm,.

PD-SORT: Occlusion-Robust Multi-Object Tracking Using Pseudo-Depth Cues Pyramidal implementation of the affine lucas kanade feature tracker description of the algorithm,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:32:49.835408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T18:32:49.402300Z digest=sha256:f713d48841457c386a87990536051d42aa602bcae080726c924d65427cedc1c4

Observation 53bbbba3-f4af-4f6b-863a-662107f90d28 · outbound

This paper cites Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography,.

PD-SORT: Occlusion-Robust Multi-Object Tracking Using Pseudo-Depth Cues Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography,

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-10T18:32:49.406038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:32:49.406038Z digest=sha256:14f6edd053755fdea4b76a70c58f786b982be825da365709f19091da702a21cd

Observation 22d3ab99-6307-4d1e-a38c-18da21a90ab2 · outbound

This paper cites MOT16: A Benchmark for Multi-Object Tracking.

PD-SORT: Occlusion-Robust Multi-Object Tracking Using Pseudo-Depth Cues MOT16: A Benchmark for Multi-Object Tracking

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-10T18:32:49.409892Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:32:49.409892Z digest=sha256:81e78a4fd812f69bf3606a831b827148bb123288398939e38470eb347df35fff

Observation fcef04ff-6299-4e55-8441-479a416bb16a · outbound

This paper cites MOT20: A benchmark for multi object tracking in crowded scenes.

PD-SORT: Occlusion-Robust Multi-Object Tracking Using Pseudo-Depth Cues MOT20: A benchmark for multi object tracking in crowded scenes

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-10T18:32:49.413488Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:32:49.413488Z digest=sha256:a7a2bbab631916e36bcf6e22d9493b8e7e160191724d714bfa394ea7d4f493bc

Observation 7743903b-3f68-4857-abc3-af4bf6d58ebb · outbound

This paper cites Hota: A higher order metric for evaluating multi-object tracking,.

PD-SORT: Occlusion-Robust Multi-Object Tracking Using Pseudo-Depth Cues Hota: A higher order metric for evaluating multi-object tracking,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:32:49.813561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T18:32:49.417180Z digest=sha256:873f27b54d8fc15e9409728551942faef8e49017f95c1be0e8595babc13ae819

Observation ae84758e-dec6-49af-8303-ee1d0806db01 · outbound

This paper cites Evaluating multiple object tracking performance: the clear mot metrics,.

PD-SORT: Occlusion-Robust Multi-Object Tracking Using Pseudo-Depth Cues Evaluating multiple object tracking performance: the clear mot metrics,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:32:49.802404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T18:32:49.420732Z digest=sha256:5c830972bb7553492ad407934b5327d01217463c58e11e0aba38ced38f2ed4f3

Observation 1e53f403-2f79-4f05-bf72-c369b12eacaf · outbound

This paper cites Performance measures and a data set for multi-target, multi-camera tracking,.

PD-SORT: Occlusion-Robust Multi-Object Tracking Using Pseudo-Depth Cues Performance measures and a data set for multi-target, multi-camera tracking,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:32:49.791559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T18:32:49.424009Z digest=sha256:ff3305f84bb07b07b1dc117498f5306e96e41c2f41ea284de7be6e720dbbdc2b

Observation f62649a6-4a00-421c-a559-85278ba56983 · outbound

This paper cites Track to detect and segment: An online multi-object tracker,.

PD-SORT: Occlusion-Robust Multi-Object Tracking Using Pseudo-Depth Cues Track to detect and segment: An online multi-object tracker,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:32:49.780405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T18:32:49.427324Z digest=sha256:4bd11afc955a4931af6f0e4d62c5e908c3c25f33b02928e15437870bff66e5cd

Observation 4ef2531e-80aa-42ec-a5b6-b4b930a51eeb · outbound

This paper cites Global tracking transformers,.

PD-SORT: Occlusion-Robust Multi-Object Tracking Using Pseudo-Depth Cues Global tracking transformers,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:32:49.769035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T18:32:49.430696Z digest=sha256:9208b16b740c125596e9dd045b53913277cb86afec8061f487a9704c4c15818b

Observation 279402e4-5864-413e-b967-d84857743b19 · outbound

This paper cites Tracking objects as points,.

PD-SORT: Occlusion-Robust Multi-Object Tracking Using Pseudo-Depth Cues Tracking objects as points,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:32:49.757226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T18:32:49.434592Z digest=sha256:5aeb2f274e90f789ccc65399ab74318165e862a7d359148eeeadd23d64a81e1e

Observation afd77e0a-c0e6-45be-b737-98123e742d35 · outbound

This paper cites Quasi- dense similarity learning for multiple object tracking,.

PD-SORT: Occlusion-Robust Multi-Object Tracking Using Pseudo-Depth Cues Quasi- dense similarity learning for multiple object tracking,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:32:49.745324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T18:32:49.438682Z digest=sha256:f39578dbf64de9ce10421262d225c5d991b57af9c9619b04392f6637814e6609

Observation 72493d52-05f3-4c52-a248-9c415594535f · outbound

This paper cites Memot: Multi-object tracking with memory,.

PD-SORT: Occlusion-Robust Multi-Object Tracking Using Pseudo-Depth Cues Memot: Multi-object tracking with memory,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:32:49.732880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T18:32:49.442356Z digest=sha256:ba99b18a30881d05450cdb620eed23cedff0da9cd4adda288d3a0c1408a7ae5a

Observation 97116499-cfa8-4424-bf54-ebdc90bae7e7 · outbound

This paper cites Motfr: Multiple object tracking based on feature recoding,.

PD-SORT: Occlusion-Robust Multi-Object Tracking Using Pseudo-Depth Cues Motfr: Multiple object tracking based on feature recoding,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:32:49.719577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T18:32:49.446180Z digest=sha256:6334cc33c9ae94f9291fa1f57e623c3ba45d5b1f22b2db6e3f48920c077f64c0

Observation 351cbb3f-708a-4e47-9e7a-c59009964356 · outbound

This paper cites Modelling ambiguous assignments for multi- person tracking in crowds,.

PD-SORT: Occlusion-Robust Multi-Object Tracking Using Pseudo-Depth Cues Modelling ambiguous assignments for multi- person tracking in crowds,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:32:49.706209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T18:32:49.450132Z digest=sha256:67f5eec40063ee13970fa2c8e9d524fe4f90761f014066408120556cc249ea67

Observation 4d5bb78d-bf13-4fa1-a4e2-a3fffbcac1ad · outbound

This paper cites Motrv2: Bootstrapping end-to-end multi-object tracking by pretrained object detectors,.

PD-SORT: Occlusion-Robust Multi-Object Tracking Using Pseudo-Depth Cues Motrv2: Bootstrapping end-to-end multi-object tracking by pretrained object detectors,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:32:49.692650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T18:32:49.454167Z digest=sha256:d813a0c4c78ea04b0c9a085a468ba29354eff8e9a68ab0fa4f8ca9c583840140

Observation a45a9027-d001-4212-8566-773601103263 · outbound

This paper cites Looking beyond two frames: End-to-end multi-object tracking using spatial and temporal transformers,.

PD-SORT: Occlusion-Robust Multi-Object Tracking Using Pseudo-Depth Cues Looking beyond two frames: End-to-end multi-object tracking using spatial and temporal transformers,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:32:49.678520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T18:32:49.458414Z digest=sha256:a9af0255b0b1885f92ca25b540598c287c8ef4c4a0a746e5b0e4283ddf0a76ad

Observation 4c9b45ae-2fbb-4e7a-8600-667f03472bb1 · outbound

This paper cites Multiple object tracking with correlation learning,.

PD-SORT: Occlusion-Robust Multi-Object Tracking Using Pseudo-Depth Cues Multiple object tracking with correlation learning,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:32:49.665097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T18:32:49.462355Z digest=sha256:2183e373e60ba780c322092781bfac589862275b061b79c9c62a4909c1753653

Observation 78d8b582-f377-4432-b330-491d8ece47c3 · outbound

This paper cites Transmot: Spatial- temporal graph transformer for multiple object tracking,.

PD-SORT: Occlusion-Robust Multi-Object Tracking Using Pseudo-Depth Cues Transmot: Spatial- temporal graph transformer for multiple object tracking,

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:32:49.652517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T18:32:49.466154Z digest=sha256:dae61a56f596a5570964c9ddf7f3b8f0e9ac190a80a8b6b502f185f4327e1eee

Observation 2ccbb19d-9fa0-4319-9732-36c61cee2872 · outbound

This paper cites Relationtrack: Relation-aware mul- tiple object tracking with decoupled representation,.

PD-SORT: Occlusion-Robust Multi-Object Tracking Using Pseudo-Depth Cues Relationtrack: Relation-aware mul- tiple object tracking with decoupled representation,

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:32:49.639742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T18:32:49.469910Z digest=sha256:dc6ae90fe241c2a2e22ef1dff3e2f9f43e86a7c100de90e6bf573aaa0ca984f9

Observation 6921ba04-cb8d-4400-9cb5-7a080f00ae7d · outbound

This paper cites Rethinking the competition between detection and reid in multiobject tracking,.

PD-SORT: Occlusion-Robust Multi-Object Tracking Using Pseudo-Depth Cues Rethinking the competition between detection and reid in multiobject tracking,

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:32:49.627372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T18:32:49.473769Z digest=sha256:5db033570583c2bd4a5ca9b53da11f02a082e9a9413d8614bd78a6ef00856e6b

Observation b3464a4c-bad4-49e2-8fba-f301d0943a10 · outbound

This paper cites Simple cues lead to a strong multi-object tracker,.

PD-SORT: Occlusion-Robust Multi-Object Tracking Using Pseudo-Depth Cues Simple cues lead to a strong multi-object tracker,

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:32:49.614412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T18:32:49.477438Z digest=sha256:819579c3bbd7532db1e2b0d567e072a6bf3d8c7cc80636edcb1159892bcfd36e

Pith citing papers

No inbound Pith citation observations are available.