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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

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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
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Source-reported events for the cited work

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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
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Source-reported events for the cited work

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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
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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
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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
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Source-reported events for the cited work

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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
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Source-reported events for the cited work

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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
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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.

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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
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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.

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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
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Source-reported events for the cited work

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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
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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.

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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
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Source-reported events for the cited work

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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
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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.

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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
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Source-reported events for the cited work

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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
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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.

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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
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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.

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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
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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.

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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
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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.

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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
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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.

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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
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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.

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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
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Source-reported events for the cited work

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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
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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.

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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

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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.

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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
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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.

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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
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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.

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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
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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
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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.

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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
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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
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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.

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Pith citing papers

No inbound Pith citation observations are available.