Pith. sign in

Paper Citation Record · LEDGER

A fast multi-object tracking system using an object detector ensemble

As of 16 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:1908.04349.

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

pith.paper-citation-record.v1
1908.04349 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T14:50:37.668057Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

29 of 29 outbound references displayed

  • verified exact0
  • verified fuzzy24
  • unresolved5
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3a3071eb-19cc-42d9-9d89-b723fc35c2a5 · outbound

This paper cites Simple online and realtime tracking,.

A fast multi-object tracking system using an object detector ensemble Simple online and realtime tracking,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:50:38.034574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:50:37.565667Z digest=sha256:50b25e663277b53c316f90a10c130eb985e6675b97764d96b58e552bf0661b53

Observation eea394f0-7d13-4a53-a24c-3be5db542454 · outbound

This paper cites Multiple object tracking using k-shortest paths optimization,.

A fast multi-object tracking system using an object detector ensemble Multiple object tracking using k-shortest paths optimization,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:50:38.023679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:50:37.570183Z digest=sha256:f717747e39c3c08ee7aed96b15295ee26aaa084b6f7800f78aa7442653c25af2

Observation aae5c6d3-a731-43f2-80d2-6a4b56afe483 · outbound

This paper cites Development of a n-type gm-phd filter for multiple target, multiple type visual tracking,.

A fast multi-object tracking system using an object detector ensemble Development of a n-type gm-phd filter for multiple target, multiple type visual tracking,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:50:38.011004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:50:37.574020Z digest=sha256:40292cd73533c2e1d8d9d4a710400cb8029e21f4637b434b6b1f7fdc61fdc8e3

Observation 2e3b8ad4-963c-40b1-89ee-0a8a6c735252 · outbound

This paper cites Poi: Multiple object tracking with high performance detection and appearance feature,.

A fast multi-object tracking system using an object detector ensemble Poi: Multiple object tracking with high performance detection and appearance feature,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:50:37.996309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:50:37.577642Z digest=sha256:21c8a7c26b2cf382be7dce7af39decc57c8a23e11c8fb8a1897e6045766ab34b

Observation 398165e2-635d-4088-a114-c9f9c0508584 · outbound

This paper cites Estimating pedestrian counts in groups,.

A fast multi-object tracking system using an object detector ensemble Estimating pedestrian counts in groups,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:50:37.983488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:50:37.581500Z digest=sha256:2d165151f15a068a11ce716312009bb27202b20181f06ecdf64d51a086e6f754

Observation e4e4ab80-d2c7-4230-8909-f61177654029 · outbound

This paper cites Estimating the number of people in crowded scenes by mid based foreground segmentation and head-shoulder detection,.

A fast multi-object tracking system using an object detector ensemble Estimating the number of people in crowded scenes by mid based foreground segmentation and head-shoulder detection,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:50:37.969748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:50:37.584940Z digest=sha256:ed6db00db1ee226ef6b118ec76a94b97ec35448a70138dfebe8254866dfe98fb

Observation 2449f870-717d-4409-8d3e-b3a4dd8bec80 · outbound

This paper cites A camera-based system for tracking people in real time,.

A fast multi-object tracking system using an object detector ensemble A camera-based system for tracking people in real time,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:50:37.957785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:50:37.588836Z digest=sha256:ec93802039860206dbcd37dedee598242a5a1b3103a9462588f3e9305a63e90d

Observation f7b571f5-95bc-4fcc-85af-5aa8a1933bd2 · outbound

This paper cites Robust head-shoulder detection by pca-based multilevel hog-lbp detector for people counting,.

A fast multi-object tracking system using an object detector ensemble Robust head-shoulder detection by pca-based multilevel hog-lbp detector for people counting,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:50:37.943253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:50:37.592377Z digest=sha256:afa871b8b6e43cd7fc24983580c96dcf2f653c1c9d199ca45d6cf0a9506332d3

Observation 9977688d-aedf-4386-8951-2624a24969c7 · outbound

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

A fast multi-object tracking system using an object detector ensemble Faster r-cnn: Towards real-time object detection with region proposal networks,

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-14T14:50:37.595846Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:50:37.595846Z digest=sha256:2438286bbcf2c5617044e87a7e64206423978d4f6d56548976f03c5d853933ff

Observation 5f744736-ddcb-4056-9f2e-b1619de7b473 · outbound

This paper cites You only look once: Unified, real-time object detection,.

A fast multi-object tracking system using an object detector ensemble You only look once: Unified, real-time object detection,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:50:37.922974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:50:37.599064Z digest=sha256:9378818d9866ebe157b581a062489fcbcf6e1d410911634513739f9773cb6251

Observation 20d2b472-2e8e-4ae4-bb63-81e636effa9b · outbound

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

A fast multi-object tracking system using an object detector ensemble MOT16: A Benchmark for Multi-Object Tracking

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-14T14:50:37.602592Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:50:37.602592Z digest=sha256:409809ac895a0e431f723cce61860a3c591e9c633e268caab422d17d85291726

Observation 1d53b9f5-a4fd-48ff-ac81-c020e99832f4 · outbound

This paper cites Global data association for multi- object tracking using network flows,.

A fast multi-object tracking system using an object detector ensemble Global data association for multi- object tracking using network flows,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:50:37.911265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:50:37.606740Z digest=sha256:ddf83214e928d1cbdfa17b7324dd1722b6204bab1029f9943cc652809d390614

Observation 4787757c-5197-4253-8ae4-e7e731915781 · outbound

This paper cites Measures of diversity in classifier ensembles and their relationship with the ensemble accuracy,.

A fast multi-object tracking system using an object detector ensemble Measures of diversity in classifier ensembles and their relationship with the ensemble accuracy,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:50:37.900337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:50:37.610376Z digest=sha256:5262086ad611f6f2d017b67b58d1ef9e348a61a468a2e3938e372e28eec6f484

Observation df0a0193-e73e-4194-a48d-9a311f172d67 · outbound

This paper cites Soft-nmsimproving object detection with one line of code,.

A fast multi-object tracking system using an object detector ensemble Soft-nmsimproving object detection with one line of code,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:50:37.889382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:50:37.613940Z digest=sha256:fe0d4b8367ca1545e7f97807adc733246a26d2fcc5bc718837509623a0c8cebf

Observation 30b55ca2-20fd-43ec-9cc8-4ccedfafcf9a · outbound

This paper cites Multi-person tracking by multicut and deep matching,.

A fast multi-object tracking system using an object detector ensemble Multi-person tracking by multicut and deep matching,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:50:37.878084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:50:37.617524Z digest=sha256:0b1504c13f35dd6b574617392d46fd29033f072a066eed5ac36bb153f2a23fa2

Observation 0f3fd67f-0284-492c-a04e-f6d5609aff81 · outbound

This paper cites Globally-optimal greedy algorithms for tracking a variable number of objects,.

A fast multi-object tracking system using an object detector ensemble Globally-optimal greedy algorithms for tracking a variable number of objects,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:50:37.865485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:50:37.621008Z digest=sha256:961090ac3c02be9a26dda790751eecebe61c64e3b645ede39a616186beccc455

Observation 998371be-e112-4254-9852-2d595d97b500 · outbound

This paper cites Subgraph decompo- sition for multi-target tracking,.

A fast multi-object tracking system using an object detector ensemble Subgraph decompo- sition for multi-target tracking,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:50:37.849978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:50:37.624464Z digest=sha256:3b721bf511cf0dedf763e862b168945374b6819c392728525c6c766d359c1c17

Observation ee78e85f-9e96-4669-97a4-6c617ec5b6d8 · outbound

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

A fast multi-object tracking system using an object detector ensemble Simple online and realtime tracking with a deep association metric,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:50:37.837780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:50:37.628164Z digest=sha256:89972aa2ed98a7d63a3b1d715a97b0aca45891a188b5edbd98fdff82f35a59b7

Observation 54987c0c-cc93-4c2e-abcc-f7fe4b83dd1a · outbound

This paper cites Online multi-target tracking with tensor-based high-order graph matching,.

A fast multi-object tracking system using an object detector ensemble Online multi-target tracking with tensor-based high-order graph matching,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:50:37.823904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:50:37.631812Z digest=sha256:a92d1b68fa4d09f0eee41912daeb2969cd8a60f17975bda09fa1feef39835e6c

Observation 001305e3-be38-430c-96f7-519d3ef42c97 · outbound

This paper cites Online multi-target tracking with strong and weak detections,.

A fast multi-object tracking system using an object detector ensemble Online multi-target tracking with strong and weak detections,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:50:37.809703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:50:37.635313Z digest=sha256:1b31be3899f7a99e7334b45a77bd7fa9a9087cbfb48a1911cf74d198c14903cd

Observation f207c492-ced9-4f2c-8c14-dcea2f2cf179 · outbound

This paper cites Tracking multiple people with multiple cameras,.

A fast multi-object tracking system using an object detector ensemble Tracking multiple people with multiple cameras,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:50:37.796794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:50:37.638408Z digest=sha256:37a4e431afb4cf05a8d791eb29c8df5dd4db2635cbcc374e1f4a230ca176005d

Observation 4d0b3287-f96d-4f0e-adbc-c6acb39ebd38 · outbound

This paper cites Kurkova, Y.

A fast multi-object tracking system using an object detector ensemble Kurkova, Y

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:50:37.783268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:50:37.641422Z digest=sha256:cf43bd80f2e6d59c75ccfa8429eadca21f2cd8a32f137d7e5751c36114dc331a

Observation 1688c13a-f860-4383-b4c0-9e6451d44069 · outbound

This paper cites Multi-target tracking using cnn-based features: Cnnmtt,.

A fast multi-object tracking system using an object detector ensemble Multi-target tracking using cnn-based features: Cnnmtt,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:50:37.771460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:50:37.645117Z digest=sha256:e0a84f0ac6b3a62ad278bf89a25595d047bba3d796b88598bfb0bd3b4f7cdd98

Observation 06687191-e972-4c62-9bd1-b5b75f483c78 · outbound

This paper cites Recurrent autoregressive networks for online multi-object tracking,.

A fast multi-object tracking system using an object detector ensemble Recurrent autoregressive networks for online multi-object tracking,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:50:37.759779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:50:37.648779Z digest=sha256:fa90217deb7b871744488b77adcdd50a0958e0184ed296b303cc9abba3d36c55

Observation a2bf71d7-60c3-4d24-af36-2ec5928267a6 · outbound

This paper cites Light-Head R-CNN: In Defense of Two-Stage Object Detector.

A fast multi-object tracking system using an object detector ensemble Light-Head R-CNN: In Defense of Two-Stage Object Detector

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-14T14:50:37.652930Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:50:37.652930Z digest=sha256:249e61bfa4d9b8e7dd14becb8765ed9c77948261993044608cf032cc93efeaea

Observation e3b8aba9-adb2-41c3-a74f-f510c486d753 · outbound

This paper cites Microsoft coco: Common objects in context,.

A fast multi-object tracking system using an object detector ensemble Microsoft coco: Common objects in context,

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-14T14:50:37.656816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:50:37.656816Z digest=sha256:e1be6868255889d16188a563e3e289f395715bb88946bac5a1463d006a1cd987

Observation 7bf3b76e-b9fa-45f0-88d2-f291d6ac65d0 · outbound

This paper cites The pascal visual object classes challenge 2007 (voc2007) results,.

A fast multi-object tracking system using an object detector ensemble The pascal visual object classes challenge 2007 (voc2007) results,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:50:37.741368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:50:37.660351Z digest=sha256:5c8c6d0c2f0066ddd7c582013212d584e6299c80ebfbd46f69c05f375244e000

Observation 962b074e-f58c-496f-874f-b6de8adc2217 · outbound

This paper cites Automatic differentiation in pytorch,.

A fast multi-object tracking system using an object detector ensemble Automatic differentiation in pytorch,

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-14T14:50:37.664287Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:50:37.664287Z digest=sha256:5bdf05c0cf68a11d5769278be4514e800f79e4d9a6120b46845e5697bafe466c

Observation 5ba82d02-b1da-45a1-b811-a1e63a8f1e15 · outbound

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

A fast multi-object tracking system using an object detector ensemble Performance measures and a data set for multi-target, multi-camera tracking,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:50:37.722309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:50:37.668057Z digest=sha256:60f370cc6a865188a1838f2cc950f40a55b7184e9fd8e894a3b156cff2f4e41b

Pith citing papers

No inbound Pith citation observations are available.