FOLT: Fast Multiple Object Tracking from UAV-captured Videos Based on Optical Flow-Reference-Cited by-同舟云学术

FOLT: Fast Multiple Object Tracking from UAV-captured Videos Based on Optical Flow

Published:2023-10-26 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 31st ACM International Conference on Multimedia
language:
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Author:

Yao Mufeng¹^ORCID,Wang Jiaqi¹^ORCID,Peng Jinlong²^ORCID,Chi Mingmin¹^ORCID,Liu Chao³^ORCID

Affiliation:

1. Fudan University, Shanghai, China

2. Tencent Youtu Lab, Shanghai, China

3. Fudan University & Zhengzhou Zhongke Institute of Integrated circuit and System Application, Shanghai, China

Funder

Natural Science Foundation of China

Zhongshan science and technology development project

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3581783.3611868

Reference52 articles.

1. Seung-Hwan Bae and Kuk-Jin Yoon . 2017. Confidence-based data association and discriminative deep appearance learning for robust online multi-object tracking . IEEE transactions on pattern analysis and machine intelligence, Vol. 40 , 3 ( 2017 ), 595--610. Seung-Hwan Bae and Kuk-Jin Yoon. 2017. Confidence-based data association and discriminative deep appearance learning for robust online multi-object tracking. IEEE transactions on pattern analysis and machine intelligence, Vol. 40, 3 (2017), 595--610.

2. Alex Bewley , Zongyuan Ge , Lionel Ott , Fabio Ramos , and Ben Upcroft . 2016. Simple online and realtime tracking . In ICIP. IEEE , 3464--3468. Alex Bewley, Zongyuan Ge, Lionel Ott, Fabio Ramos, and Ben Upcroft. 2016. Simple online and realtime tracking. In ICIP. IEEE, 3464--3468.

3. High-Speed tracking-by-detection without using image information

4. Thomas Brox , Bodo Rosenhahn , Daniel Cremers , and Hans-Peter Seidel . 2006. High accuracy optical flow serves 3-D pose tracking: exploiting contour and flow based constraints . In ECCV. Springer , 98--111. Thomas Brox, Bodo Rosenhahn, Daniel Cremers, and Hans-Peter Seidel. 2006. High accuracy optical flow serves 3-D pose tracking: exploiting contour and flow based constraints. In ECCV. Springer, 98--111.

5. Jinkun Cao , Xinshuo Weng , Rawal Khirodkar , Jiangmiao Pang , and Kris Kitani . 2022. Observation-Centric SORT: Rethinking SORT for Robust Multi-Object Tracking. arXiv preprint arXiv:2203.14360 ( 2022 ). Jinkun Cao, Xinshuo Weng, Rawal Khirodkar, Jiangmiao Pang, and Kris Kitani. 2022. Observation-Centric SORT: Rethinking SORT for Robust Multi-Object Tracking. arXiv preprint arXiv:2203.14360 (2022).

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