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RoadTrack: Realtime Tracking of Road Agents in Dense and Heterogeneous Environments [article]

Rohan Chandra, Uttaran Bhattacharya, Tanmay Randhavane, Aniket Bera, Dinesh Manocha
2020 arXiv   pre-print

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https://web.archive.org/web/20200321081948/https://arxiv.org/pdf/1906.10712v3.pdf

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2019 pre-print
arXiv:1906.10712v1 fatcat:3bql73a55zcwhecv3hgrojck6q
2019 pre-print
arXiv:1906.10712v2 fatcat:cjp77gpptbbbzlmxtnw3kyxt7q
We present a realtime tracking algorithm, RoadTrack, to track heterogeneous road-agents in dense traffic videos.  ...  RoadTrack operates in realtime at approximately 30 fps and is at least 4 times faster than prior tracking algorithms on standard tracking datasets.  ...  ACKNOWLEDGEMENTS This work was supported in part by ARO Grants W911NF1910069 and W911NF1910315, Semiconductor Research Corporation (SRC), and Intel.  ... 
arXiv:1906.10712v3 fatcat:ruuyluq7nnhh3dzt72gv3xunei
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Citation

Rohan Chandra, Uttaran Bhattacharya, Tanmay Randhavane, Aniket Bera, Dinesh Manocha. "RoadTrack: Realtime Tracking of Road Agents in Dense and Heterogeneous Environments." arXiv (2020)