A systematic survey on recent deep learning-based approaches to multi-object tracking

Author:

Agrawal Harshit,Halder Agrya,Chattopadhyay PratikORCID

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Reference182 articles.

1. Chandrajit M, Girisha R, Vasudev T (2016) Multiple objects tracking in surveillance video using color and hu moments. arXiv:1608.06148

2. Xie D, Hu W, Tan T, Peng J (2004) A multi-object tracking system for surveillance video analysis. Proceedings of the 17th international conference on pattern recognition, 2004. ICPR 2004, vol 4. pp 767–7704

3. Gebregziabher B (2023) Multi-object tracking for predictive collision avoidance. arXiv:2307.02161

4. Liu D (2021) Multi-object tracking and segmentation for autonomous driving: A flow guided association approach. PhD thesis, Purdue University Graduate School

5. Luo C, Yang X, Yuille AL (2021) Exploring simple 3d multi-object tracking for autonomous driving. 2021 IEEE/CVF international conference on computer vision (ICCV), pp 10468-10477

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