An Improved Online Multiple Pedestrian Tracking Based on Head and Body Detection-Reference-Cited by-同舟云学术

An Improved Online Multiple Pedestrian Tracking Based on Head and Body Detection

Published:2021-12 Issue: Volume: Page:
ISSN:
Container-title:2021 17th International Conference on Mobility, Sensing and Networking (MSN)
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Author:

Sun Zhihong¹,Chen Jun¹,Mukherjee Mithun²,Wang Haihui³,Zhang Dang⁴

Affiliation:

1. Wuhan University,National Engineering Research Center for Multimedia Software, School of Computer Science,Wuhan,China,430072

2. Nanjing University of Information Science and Technology,School of Artificial Intelligence,Nanjing,China,210044

3. Wuhan Institute of Technology,School of Computer Science and Technology,Wuhan, Hubei,China,430205

4. Wuhan University,School of Computer Science,Wuhan,China,430072

Funder

Nature

Natural Science Foundation of Hubei Province

Publisher

IEEE

Link

Reference35 articles.

1. Online and real-time tracking in a surveillance scenario;urbann;arXiv preprint arXiv 2106 01111,2021

2. SDOF-tracker: Fast and accurate multiple human tracking by skipped-detection and optical-flow;nishimura;arXiv preprint arXiv 2106 14881,2021

3. Mot20: A benchmark for multi object tracking in crowded scenes;dendorfer;arXiv preprint arXiv 2003 07516,2020

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