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Paper Citation Record · LEDGER

Video Individual Counting and Tracking from Moving Drones: A Benchmark and Methods

As of 8 August 2026, this Paper Citation Record lists 84 of 84 outbound references and 0 inbound Pith citation observations for arXiv:2601.12500.

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

pith.paper-citation-record.v1
2601.12500 v2

Coverage vector

measured 84 of 84 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T09:48:56.732951Z

measured 84 of 84 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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84 of 84 outbound references displayed

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Outbound references

Observation 5dde05ce-c267-4f65-a043-3fe3194eae97 · outbound

This paper cites Integrated sensing and communication for low altitude econ- omy: Opportunities and challenges,.

Video Individual Counting and Tracking from Moving Drones: A Benchmark and Methods Integrated sensing and communication for low altitude econ- omy: Opportunities and challenges,

Reference 1

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Observation 35c4c085-7e47-4f94-ab89-99a17e7136fc · outbound

This paper cites Unmanned aerial vehicles based low-altitude economy with lifecycle techno-economic-environmental analysis for sustainable and smart cities,.

Video Individual Counting and Tracking from Moving Drones: A Benchmark and Methods Unmanned aerial vehicles based low-altitude economy with lifecycle techno-economic-environmental analysis for sustainable and smart cities,

Reference 2

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Observation 6d238a47-fd58-4cfd-b798-c51552507fe2 · outbound

This paper cites Low-altitude intelligent transportation: System architecture, infrastructure, and key technologies,.

Video Individual Counting and Tracking from Moving Drones: A Benchmark and Methods Low-altitude intelligent transportation: System architecture, infrastructure, and key technologies,

Reference 3

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Observation 2d497da1-6a6d-4f38-898f-2026bbc26d88 · outbound

This paper cites Learning to count objects in images,.

Video Individual Counting and Tracking from Moving Drones: A Benchmark and Methods Learning to count objects in images,

Reference 4

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Observation 7e0dc8a4-49e0-4ff3-a213-76842e50de1c · outbound

This paper cites Csrnet: Dilated convolutional neural net- works for understanding the highly congested scenes,.

Video Individual Counting and Tracking from Moving Drones: A Benchmark and Methods Csrnet: Dilated convolutional neural net- works for understanding the highly congested scenes,

Reference 5

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Observation c72745a4-5882-4421-9f30-52c92b0e37e8 · outbound

This paper cites Regressor- segmenter mutual prompt learning for crowd counting,.

Video Individual Counting and Tracking from Moving Drones: A Benchmark and Methods Regressor- segmenter mutual prompt learning for crowd counting,

Reference 6

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Observation 6fcbfff9-aa24-4ef6-9a7e-169cb211bb66 · outbound

This paper cites Rethinking counting and localization in crowds: A purely point-based framework,.

Video Individual Counting and Tracking from Moving Drones: A Benchmark and Methods Rethinking counting and localization in crowds: A purely point-based framework,

Reference 7

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Observation 403dfa57-e494-422a-bba1-abb0c48be002 · outbound

This paper cites Learning from synthetic data for crowd counting in the wild,.

Video Individual Counting and Tracking from Moving Drones: A Benchmark and Methods Learning from synthetic data for crowd counting in the wild,

Reference 8

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Observation fe9b5ee7-c560-4f79-99bc-efaba5c26b4f · outbound

This paper cites Multiple object tracking as id prediction,.

Video Individual Counting and Tracking from Moving Drones: A Benchmark and Methods Multiple object tracking as id prediction,

Reference 9

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Observation 39d2d5fe-0f1b-4d00-bc66-88fcba7834f2 · outbound

This paper cites Drone-assisted public safety net- works: The security aspect,.

Video Individual Counting and Tracking from Moving Drones: A Benchmark and Methods Drone-assisted public safety net- works: The security aspect,

Reference 10

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Observation ab2f6004-d16b-4f25-af36-ea5e18e5ad3a · outbound

This paper cites Nwpu-crowd: A large-scale benchmark for crowd counting and localization,.

Video Individual Counting and Tracking from Moving Drones: A Benchmark and Methods Nwpu-crowd: A large-scale benchmark for crowd counting and localization,

Reference 11

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Observation 2fc412be-df53-401c-b1c3-706655508b1d · outbound

This paper cites Composition loss for counting, density map estimation and localization in dense crowds,.

Video Individual Counting and Tracking from Moving Drones: A Benchmark and Methods Composition loss for counting, density map estimation and localization in dense crowds,

Reference 12

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Observation 07048071-5fd3-4290-bfcf-91e1853a696b · outbound

This paper cites Single-image crowd counting via multi-column convolutional neural network,.

Video Individual Counting and Tracking from Moving Drones: A Benchmark and Methods Single-image crowd counting via multi-column convolutional neural network,

Reference 13

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Observation 3f6aaed4-a8fc-4eb5-b1e7-c54cdcfa96bf · outbound

This paper cites Multi-source multi-scale counting in extremely dense crowd images,.

Video Individual Counting and Tracking from Moving Drones: A Benchmark and Methods Multi-source multi-scale counting in extremely dense crowd images,

Reference 14

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Observation 6987f96a-0abf-4dd8-9b81-3a83346311bf · outbound

This paper cites Reducing spatial labeling redundancy for active semi-supervised crowd counting,.

Video Individual Counting and Tracking from Moving Drones: A Benchmark and Methods Reducing spatial labeling redundancy for active semi-supervised crowd counting,

Reference 15

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Observation 5c8334a0-17a8-4a4c-966a-bad462065b93 · outbound

This paper cites Jhu-crowd++: Large-scale crowd counting dataset and a benchmark method,.

Video Individual Counting and Tracking from Moving Drones: A Benchmark and Methods Jhu-crowd++: Large-scale crowd counting dataset and a benchmark method,

Reference 16

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Observation 5a8fa826-5f14-45e8-9030-4ac362a7e60f · outbound

This paper cites Point-to-region loss for semi-supervised point-based crowd counting,.

Video Individual Counting and Tracking from Moving Drones: A Benchmark and Methods Point-to-region loss for semi-supervised point-based crowd counting,

Reference 17

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Observation 59d22f3b-a5f6-4ed6-84a7-700c8a2c7d0c · outbound

This paper cites Video crowd localization with multifocus gaussian neighborhood at- tention and a large-scale benchmark,.

Video Individual Counting and Tracking from Moving Drones: A Benchmark and Methods Video crowd localization with multifocus gaussian neighborhood at- tention and a large-scale benchmark,

Reference 18

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Observation cd2f24e6-4443-491d-9f19-8443b4a833ed · outbound

This paper cites Scene-adaptive unsupervised crowd counting for video surveillance,.

Video Individual Counting and Tracking from Moving Drones: A Benchmark and Methods Scene-adaptive unsupervised crowd counting for video surveillance,

Reference 19

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Observation 5d54f127-794b-42d7-a47a-d843a72be2c8 · outbound

This paper cites Crowdcl: Unsupervised crowd counting network via contrastive learning,.

Video Individual Counting and Tracking from Moving Drones: A Benchmark and Methods Crowdcl: Unsupervised crowd counting network via contrastive learning,

Reference 20

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Observation 68dc8719-1e85-48e8-b135-b8f697198832 · outbound

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

Video Individual Counting and Tracking from Moving Drones: A Benchmark and Methods Dancetrack: Multi-object tracking in uniform appearance and diverse motion,

Reference 21

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Observation dda19067-8d15-4b60-8e29-2c63d882edc6 · outbound

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

Video Individual Counting and Tracking from Moving Drones: A Benchmark and Methods MOT20: A benchmark for multi object tracking in crowded scenes

Reference 22

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Observation f81bad3a-e8c0-4ad8-bd00-35333eb3bb18 · outbound

This paper cites Sportsmot: A large multi-object tracking dataset in multiple sports scenes,.

Video Individual Counting and Tracking from Moving Drones: A Benchmark and Methods Sportsmot: A large multi-object tracking dataset in multiple sports scenes,

Reference 23

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Observation 2781fb8e-0793-476f-b62f-d36f157feb69 · outbound

This paper cites Crowded video individual counting informed by social grouping and spatial-temporal displacement priors,.

Video Individual Counting and Tracking from Moving Drones: A Benchmark and Methods Crowded video individual counting informed by social grouping and spatial-temporal displacement priors,

Reference 24

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Observation 5e358909-68f0-4d66-8a61-b46792497138 · outbound

This paper cites Detection, tracking, and counting meets drones in crowds: A benchmark,.

Video Individual Counting and Tracking from Moving Drones: A Benchmark and Methods Detection, tracking, and counting meets drones in crowds: A benchmark,

Reference 25

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Observation 6bc0f2f6-931b-4eb5-be19-efb2df50d9a4 · outbound

This paper cites Visdrone-cc2021: The vision meets drone crowd counting challenge results,.

Video Individual Counting and Tracking from Moving Drones: A Benchmark and Methods Visdrone-cc2021: The vision meets drone crowd counting challenge results,

Reference 26

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Observation a6e53e5a-31c4-41a0-a5ac-47f11a391c0b · outbound

This paper cites Weakly supervised video individual counting,.

Video Individual Counting and Tracking from Moving Drones: A Benchmark and Methods Weakly supervised video individual counting,

Reference 27

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Observation 486e2265-f3ea-4a6f-8b10-7f6541dd9c89 · outbound

This paper cites Detection and tracking meet drones challenge,.

Video Individual Counting and Tracking from Moving Drones: A Benchmark and Methods Detection and tracking meet drones challenge,

Reference 28

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Observation 065d6a65-79ea-4a92-9ed2-0c31adb572cc · outbound

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

Video Individual Counting and Tracking from Moving Drones: A Benchmark and Methods Bytetrack: Multi-object tracking by associating every detection box,

Reference 29

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Observation f6d74232-447f-4291-956b-2ebfca8b16fc · outbound

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

Video Individual Counting and Tracking from Moving Drones: A Benchmark and Methods Track- former: Multi-object tracking with transformers,

Reference 30

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Observation 12a9aa6e-248f-4d58-8227-c121b271544f · outbound

This paper cites Sparsetrack: Multi- object tracking by performing scene decomposition based on pseudo- depth,.

Video Individual Counting and Tracking from Moving Drones: A Benchmark and Methods Sparsetrack: Multi- object tracking by performing scene decomposition based on pseudo- depth,

Reference 31

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Observation cb123103-e1d5-457f-a7a7-36e60b8f22b7 · outbound

This paper cites Multi-object tracking in the dark,.

Video Individual Counting and Tracking from Moving Drones: A Benchmark and Methods Multi-object tracking in the dark,

Reference 32

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Observation c5cf36bd-c064-4e89-aa63-b9f97593b0e7 · outbound

This paper cites Diffusiontrack: Diffusion model for multi-object tracking,.

Video Individual Counting and Tracking from Moving Drones: A Benchmark and Methods Diffusiontrack: Diffusion model for multi-object tracking,

Reference 33

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Observation 481601f9-56ac-4c68-8e60-93510f548a0d · outbound

This paper cites Dr.vic: Decompo- sition and reasoning for video individual counting,.

Video Individual Counting and Tracking from Moving Drones: A Benchmark and Methods Dr.vic: Decompo- sition and reasoning for video individual counting,

Reference 34

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Observation f1e3329f-766e-43a2-b507-42def813a8fa · outbound

This paper cites Prototype-guided dual- transformer reasoning for video individual counting,.

Video Individual Counting and Tracking from Moving Drones: A Benchmark and Methods Prototype-guided dual- transformer reasoning for video individual counting,

Reference 35

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Observation e39dbf7e-eb25-4f2d-9be9-2c36a312e807 · outbound

This paper cites Video individual counting for moving drones,.

Video Individual Counting and Tracking from Moving Drones: A Benchmark and Methods Video individual counting for moving drones,

Reference 36

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Observation 86231a17-2728-4dd4-9d7b-7f3aa522662d · outbound

This paper cites Density-based flow mask in- tegration via deformable convolution for video people flux estimation,.

Video Individual Counting and Tracking from Moving Drones: A Benchmark and Methods Density-based flow mask in- tegration via deformable convolution for video people flux estimation,

Reference 37

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Observation 013822e6-38e5-4eba-a883-f92843a436ef · outbound

This paper cites Flowing crowd to count flows: A self-supervised frame- work for video individual counting,.

Video Individual Counting and Tracking from Moving Drones: A Benchmark and Methods Flowing crowd to count flows: A self-supervised frame- work for video individual counting,

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Observation 7d03e310-e704-4cf4-8d7b-8539cb3c7275 · outbound

This paper cites Context-aware crowd counting,.

Video Individual Counting and Tracking from Moving Drones: A Benchmark and Methods Context-aware crowd counting,

Reference 39

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Observation 753047da-459b-4694-8b42-81737809c6c1 · outbound

This paper cites Reverse perspec- tive network for perspective-aware object counting,.

Video Individual Counting and Tracking from Moving Drones: A Benchmark and Methods Reverse perspec- tive network for perspective-aware object counting,

Reference 40

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Observation 868f487f-366f-4312-8c97-cde4506400d1 · outbound

This paper cites Distribution matching for crowd counting,.

Video Individual Counting and Tracking from Moving Drones: A Benchmark and Methods Distribution matching for crowd counting,

Reference 41

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Observation e2d0465a-6d12-4c1a-8ef7-2bb51738369c · outbound

This paper cites Steerer: Resolving scale varia- tions for counting and localization via selective inheritance learning,.

Video Individual Counting and Tracking from Moving Drones: A Benchmark and Methods Steerer: Resolving scale varia- tions for counting and localization via selective inheritance learning,

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Observation 07e07713-8984-434e-a4bc-fb8c91d5c955 · outbound

This paper cites Crowddiff: Multi-hypothesis crowd density estimation using diffusion models,.

Video Individual Counting and Tracking from Moving Drones: A Benchmark and Methods Crowddiff: Multi-hypothesis crowd density estimation using diffusion models,

Reference 43

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source=pdf_text observed=2026-08-03T09:48:51.488642Z digest=sha256:3b83122cf863c1425ebbb4ae74f241f0d9d3b62a9234eea44001cf58996e7d6a

Observation a1f740f7-09e2-44fa-8ba7-6376e34b7dfc · outbound

This paper cites Face recognition using kernel ridge regression,.

Video Individual Counting and Tracking from Moving Drones: A Benchmark and Methods Face recognition using kernel ridge regression,

Reference 44

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source=pdf_text observed=2026-08-03T09:48:51.647439Z digest=sha256:a139f1ac679706dfe02d022a5039c3ed61c0a9724d710b72184e504a0db6e28d

Observation 97d168aa-8fd6-47e1-b1ff-3a9ded85efc2 · outbound

This paper cites Crowd density estimation using texture analysis and learning,.

Video Individual Counting and Tracking from Moving Drones: A Benchmark and Methods Crowd density estimation using texture analysis and learning,

Reference 45

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source=pdf_text observed=2026-08-03T09:48:51.758637Z digest=sha256:c9ef945dae1e51a50e6548e37293389896f664290c8a8fe535888ee4594f7937

Observation 8c2b64e2-82e8-4ed4-9d56-57330b86ba11 · outbound

This paper cites Privacy preserving crowd monitoring: Counting people without people models or tracking,.

Video Individual Counting and Tracking from Moving Drones: A Benchmark and Methods Privacy preserving crowd monitoring: Counting people without people models or tracking,

Reference 46

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source=pdf_text observed=2026-08-03T09:48:51.902634Z digest=sha256:49f924836c4f7478fd368b9dd7d518d39f5e01306c22ba5e7d90f495d2b38ec6

Observation 1fd84fb3-0ee8-4541-b14a-649d5f45af2a · outbound

This paper cites Deep people counting in extremely dense crowds,.

Video Individual Counting and Tracking from Moving Drones: A Benchmark and Methods Deep people counting in extremely dense crowds,

Reference 47

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source=pdf_text observed=2026-08-03T09:48:52.032198Z digest=sha256:6723ab786a892b42f6f60f64fcd0347a86a4aa9e5fefc945b2b1ea375966266c

Observation 274c78cb-83a6-443a-a494-881465ec5ab8 · outbound

This paper cites Revisiting perspective infor- mation for efficient crowd counting,.

Video Individual Counting and Tracking from Moving Drones: A Benchmark and Methods Revisiting perspective infor- mation for efficient crowd counting,

Reference 48

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source=pdf_text observed=2026-08-03T09:48:52.129785Z digest=sha256:58e9c8c116c2f7008b01bd0ae4ae02f4d8194839783f5943a9149f81df1e9303

Observation de7647af-8365-49fd-99a7-9f66e6e6e33b · outbound

This paper cites Perspective-guided convolution networks for crowd counting,.

Video Individual Counting and Tracking from Moving Drones: A Benchmark and Methods Perspective-guided convolution networks for crowd counting,

Reference 49

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source=pdf_text observed=2026-08-03T09:48:52.255579Z digest=sha256:8c7bd397121b6200591ca4e76a8f7faba19e235d8f2258d57f5f746ec526f5fb

Observation 9dea0d16-dc77-44ca-bb3f-ffea74a6678d · outbound

This paper cites Redesigning multi-scale neural network for crowd counting,.

Video Individual Counting and Tracking from Moving Drones: A Benchmark and Methods Redesigning multi-scale neural network for crowd counting,

Reference 50

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source=pdf_text observed=2026-08-03T09:48:52.349061Z digest=sha256:0fca41b4b70187ff4d9b751833a0861261745a0ebeef73e84f8d4ee56370100c

Observation b84d65cc-3f1d-4e95-b636-82af46386950 · outbound

This paper cites Stnet: Scale tree network with multi-level auxiliator for crowd counting,.

Video Individual Counting and Tracking from Moving Drones: A Benchmark and Methods Stnet: Scale tree network with multi-level auxiliator for crowd counting,

Reference 51

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source=pdf_text observed=2026-08-03T09:48:52.507491Z digest=sha256:0124f258cf9757d52fa6633f481d5b40065ab92c8a99e0c5910e5981fd21ffed

Observation 0037447d-77bf-4a57-a927-e8e95e3f453b · outbound

This paper cites Domain-adaptive crowd counting via high-quality image translation and density reconstruction,.

Video Individual Counting and Tracking from Moving Drones: A Benchmark and Methods Domain-adaptive crowd counting via high-quality image translation and density reconstruction,

Reference 52

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source=pdf_text observed=2026-08-03T09:48:52.719853Z digest=sha256:282e23de3e9d43e48847a992580046d6800afb00f9bbff782d6cc021c0c7873b

Observation 391840df-5bdb-4957-81be-93b37b1dc601 · outbound

This paper cites Domain-general crowd counting in unseen scenarios,.

Video Individual Counting and Tracking from Moving Drones: A Benchmark and Methods Domain-general crowd counting in unseen scenarios,

Reference 53

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source=pdf_text observed=2026-08-03T09:48:52.856147Z digest=sha256:cbc2e11eaba4d09ffde6bc7130e36bded92a2359177cafa4d56c9a84e11558a1

Observation 08150602-c777-4079-9b8f-76d97e1366aa · outbound

This paper cites Striking a balance: Unsu- pervised cross-domain crowd counting via knowledge diffusion,.

Video Individual Counting and Tracking from Moving Drones: A Benchmark and Methods Striking a balance: Unsu- pervised cross-domain crowd counting via knowledge diffusion,

Reference 54

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source=pdf_text observed=2026-08-03T09:48:52.982093Z digest=sha256:527f6c532b56505a05a8ad1eca3a712ac95b1af7f07b13875b630123489879e4

Observation bf15a35b-fd17-4f2c-8c67-075cf4b68d75 · outbound

This paper cites Bi-level alignment for cross-domain crowd counting,.

Video Individual Counting and Tracking from Moving Drones: A Benchmark and Methods Bi-level alignment for cross-domain crowd counting,

Reference 55

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source=pdf_text observed=2026-08-03T09:48:53.122813Z digest=sha256:79f678940761f2511db1039ba2b43f25c2c8f04cf8247b7d2d852fdcd2bf1fd2

Observation 5ee246b4-3e46-4ac5-8cd0-1fc36d252d11 · outbound

This paper cites A generalized loss function for crowd counting and localization,.

Video Individual Counting and Tracking from Moving Drones: A Benchmark and Methods A generalized loss function for crowd counting and localization,

Reference 56

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source=pdf_text observed=2026-08-03T09:48:53.261210Z digest=sha256:5f38213eb6d096f8513ab9bb540d024f1e492a443988ff90a883153a2ce54eaf

Observation 9d72174e-b79b-40d6-922f-c95594b3f03f · outbound

This paper cites Bayesian poisson regression for crowd counting,.

Video Individual Counting and Tracking from Moving Drones: A Benchmark and Methods Bayesian poisson regression for crowd counting,

Reference 57

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source=pdf_text observed=2026-08-03T09:48:53.350350Z digest=sha256:ecee8993e9900dd6e92deed9c42d058dc4be80c592281966ae788b803837315d

Observation 812b23f5-d806-4aae-a8f3-b9f6a2d70629 · outbound

This paper cites An end-to-end transformer model for crowd localization,.

Video Individual Counting and Tracking from Moving Drones: A Benchmark and Methods An end-to-end transformer model for crowd localization,

Reference 58

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source=pdf_text observed=2026-08-03T09:48:53.423047Z digest=sha256:f7baa34407de94078368d3a58204f82b20efb0498d414c6cc7da75cfd6c8d908

Observation e5f78499-10e3-478f-aa3b-bc9ca553edbc · outbound

This paper cites Learning crowd scale and distribution for weakly supervised crowd counting and localization,.

Video Individual Counting and Tracking from Moving Drones: A Benchmark and Methods Learning crowd scale and distribution for weakly supervised crowd counting and localization,

Reference 59

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Observation f9852284-e82d-4cb6-92f4-97e88170564e · outbound

This paper cites Delving into the trajectory long-tail distribution for muti-object tracking,.

Video Individual Counting and Tracking from Moving Drones: A Benchmark and Methods Delving into the trajectory long-tail distribution for muti-object tracking,

Reference 60

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Observation 548e2a36-0b67-468a-a609-7cb51bb54ea7 · outbound

This paper cites Deconfusetrack: Dealing with confusion for multi-object tracking,.

Video Individual Counting and Tracking from Moving Drones: A Benchmark and Methods Deconfusetrack: Dealing with confusion for multi-object tracking,

Reference 61

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Observation 9c051e32-2d92-45ca-ac28-b74420444b6d · outbound

This paper cites Utm: A unified multiple object tracking model with identity-aware feature enhancement,.

Video Individual Counting and Tracking from Moving Drones: A Benchmark and Methods Utm: A unified multiple object tracking model with identity-aware feature enhancement,

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source=pdf_text observed=2026-08-03T09:48:53.785694Z digest=sha256:e5fcd57de8965193cf2e1168d2c11d7682bfa6ce3128c73aec844af783165d9a

Observation d762ea8d-7914-4ac0-a6b3-b39caef349bb · outbound

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

Video Individual Counting and Tracking from Moving Drones: A Benchmark and Methods BoT-SORT: Robust Associations Multi-Pedestrian Tracking

Reference 63

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Observation 5703a0b6-3327-4e8f-805f-e631040231bf · outbound

This paper cites Diffmot: A real-time diffusion-based multiple object tracker with non-linear prediction,.

Video Individual Counting and Tracking from Moving Drones: A Benchmark and Methods Diffmot: A real-time diffusion-based multiple object tracker with non-linear prediction,

Reference 64

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Observation 3418ba5e-2cff-43aa-9865-24b7f3c2a17b · outbound

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

Video Individual Counting and Tracking from Moving Drones: A Benchmark and Methods Observation- centric sort: Rethinking sort for robust multi-object tracking,

Reference 65

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source=pdf_text observed=2026-08-03T09:48:54.050841Z digest=sha256:7989e428e52ee528ad9ba8a80c6c93d52e7ceb11b66bb41e20788ec839b205ca

Observation fbbefa88-82ab-4d19-9d41-b0bf83e8e0fb · outbound

This paper cites A new approach to linear filtering and prediction problems,.

Video Individual Counting and Tracking from Moving Drones: A Benchmark and Methods A new approach to linear filtering and prediction problems,

Reference 66

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Observation af79a563-b426-4e75-aabe-6e5f4ce49c18 · outbound

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

Video Individual Counting and Tracking from Moving Drones: A Benchmark and Methods Motr: End-to-end multiple-object tracking with transformer,

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source=pdf_text observed=2026-08-03T09:48:54.280392Z digest=sha256:043b2f61b751d7e5fc575da6e30ccf2fc3110b44a96cb9dad6be0f2ae91bd0ff

Observation 7edd5f54-5c97-4c17-ae50-2ef6e19ffd98 · outbound

This paper cites Rgb-t crowd counting from drone: A benchmark and mmccn network,.

Video Individual Counting and Tracking from Moving Drones: A Benchmark and Methods Rgb-t crowd counting from drone: A benchmark and mmccn network,

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Observation a99990e7-ae05-432d-be41-044c563b9b5c · outbound

This paper cites Drone-based Joint Density Map Estimation, Localization and Tracking with Space-Time Multi-Scale Attention Network.

Video Individual Counting and Tracking from Moving Drones: A Benchmark and Methods Drone-based Joint Density Map Estimation, Localization and Tracking with Space-Time Multi-Scale Attention Network

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Observation bd4b8396-a1e0-443c-95dc-d202e5e95ccf · outbound

This paper cites A large- scale drone based thermal infrared benchmark and inception transformer network for crowd counting,.

Video Individual Counting and Tracking from Moving Drones: A Benchmark and Methods A large- scale drone based thermal infrared benchmark and inception transformer network for crowd counting,

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Observation 2997807d-85af-42e4-aecc-23302102f101 · outbound

This paper cites Enhanced uav-dot for uav crowd localization: Adaptive gaussian heat map and attention mechanism to address scale/low-light challenges,.

Video Individual Counting and Tracking from Moving Drones: A Benchmark and Methods Enhanced uav-dot for uav crowd localization: Adaptive gaussian heat map and attention mechanism to address scale/low-light challenges,

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source=pdf_text observed=2026-08-03T09:48:54.808729Z digest=sha256:0400556b94f7a1e4ef13e761250e29fa6e4c75bf8d1b6bfa841cecbfeae9bab0

Observation 277838fd-84ce-4031-8530-cbd425ec04e7 · outbound

This paper cites Drone-person tracking in uniform appearance crowd: A new dataset,.

Video Individual Counting and Tracking from Moving Drones: A Benchmark and Methods Drone-person tracking in uniform appearance crowd: A new dataset,

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source=pdf_text observed=2026-08-03T09:48:54.977887Z digest=sha256:729f74a4d796d2a1066cb5d8a5d082493e5b32db837e2b37c04e82e5efad161c

Observation 0e92f6dd-c2e9-460c-bb65-dbac023951c7 · outbound

This paper cites Dense- track: Drone-based crowd tracking via density-aware motion-appearance IEEE TRANSACTIONS 16 synergy,.

Video Individual Counting and Tracking from Moving Drones: A Benchmark and Methods Dense- track: Drone-based crowd tracking via density-aware motion-appearance IEEE TRANSACTIONS 16 synergy,

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source=pdf_text observed=2026-08-03T09:48:55.160703Z digest=sha256:86d849a59c882b65d6ec64cc15be764da9d052d34e5601c736ed2846f4e587ec

Observation c22eda67-484b-4bb9-8b25-73e9a46e4041 · outbound

This paper cites Multi-frame attention with feature-level warping for drone crowd tracking,.

Video Individual Counting and Tracking from Moving Drones: A Benchmark and Methods Multi-frame attention with feature-level warping for drone crowd tracking,

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source=pdf_text observed=2026-08-03T09:48:55.310330Z digest=sha256:d1f71710c2f553d32940c1a28fa25947d0acdd8db818bb8a812c97f05f37cdac

Observation ceb7bb6f-1080-4f9b-adb5-f46fc607bd17 · outbound

This paper cites Tracking pedestrian heads in dense crowd,.

Video Individual Counting and Tracking from Moving Drones: A Benchmark and Methods Tracking pedestrian heads in dense crowd,

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source=pdf_text observed=2026-08-03T09:48:55.453285Z digest=sha256:3f16663a1825f2321cd07240450a39fd2e2da64c17794c57b81852544584b9d7

Observation 9585d986-f6b1-47d4-9ada-4c652ff72341 · outbound

This paper cites Superglue: Learning feature matching with graph neural networks,.

Video Individual Counting and Tracking from Moving Drones: A Benchmark and Methods Superglue: Learning feature matching with graph neural networks,

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Observation f7ef36f1-eb4d-431a-80ac-f681ad1b2977 · outbound

This paper cites Sinkhorn distances: Lightspeed computation of optimal transport,.

Video Individual Counting and Tracking from Moving Drones: A Benchmark and Methods Sinkhorn distances: Lightspeed computation of optimal transport,

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Observation 42e574bb-d480-44a9-ac64-2c4e941dac4b · outbound

This paper cites Algorithms for the assignment and transportation prob- lems,.

Video Individual Counting and Tracking from Moving Drones: A Benchmark and Methods Algorithms for the assignment and transportation prob- lems,

Reference 78

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Observation cea25290-69eb-4690-9c0e-92485e5ae6ff · outbound

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

Video Individual Counting and Tracking from Moving Drones: A Benchmark and Methods Hota: A higher order metric for evaluating multi-object tracking,

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Observation 50b8cde0-78b2-4336-8e0e-65511f9edca2 · outbound

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

Video Individual Counting and Tracking from Moving Drones: A Benchmark and Methods Evaluating multiple object tracking performance: the clear mot metrics,

Reference 80

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Observation ec8edf06-9e1f-4a8f-b97d-c61a28945b61 · outbound

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

Video Individual Counting and Tracking from Moving Drones: A Benchmark and Methods Perfor- mance measures and a data set for multi-target, multi-camera tracking,

Reference 81

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Observation de63b1ca-718e-43fd-8fc1-3c8a6a055aef · outbound

This paper cites Deep residual learning for image recognition,.

Video Individual Counting and Tracking from Moving Drones: A Benchmark and Methods Deep residual learning for image recognition,

Reference 82

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Observation 1ca90db4-74d2-493b-8c5d-f33fff5cc3f4 · outbound

This paper cites Feature pyramid networks for object detection,.

Video Individual Counting and Tracking from Moving Drones: A Benchmark and Methods Feature pyramid networks for object detection,

Reference 83

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Observation 278036fe-d06c-4ae8-9e3e-b30385468b01 · outbound

This paper cites Crossing-line crowd counting with two-phase deep neural networks,.

Video Individual Counting and Tracking from Moving Drones: A Benchmark and Methods Crossing-line crowd counting with two-phase deep neural networks,

Reference 84

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