J Shanghai Jiaotong Univ Sci

Journal of Shanghai Jiaotong University(Science) >

2020 , Vol. 25 >Issue 6: 802 - 810

DOI: https://doi.org/10.1007/s12204-020-2188-x

Collaborative Tracking Method in Multi-Camera System

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  • (1. School of Information Science and Technology, University of Science and Technology of China, Hefei 230027, China;
    2. Key Laboratory of Electromagnetic Space Information, Chinese Academy of Sciences, Hefei 230027, China; 3.
    Department of Material Science and Engineering, University of Science and Technology of China, Hefei 230026, China)

Online published: 2020-11-26

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Abstract

Visual tracking has been a popular task in computer vision in recent years, especially for long-term tracking. A novel object tracking framework is proposed in this paper. For surveillance cameras with overlapping areas, the target area is divided into several regions corresponding to each camera, and a simple re-matching method is used by matching the colors according to the segmented parts. For surveillance cameras without overlapping areas, a time estimation model is employed for continuously tracking objects in different fields of view (FoVs). A demonstration system for collaborative tracking in real time situation is realized finally. The experimental results show that compared with current popular algorithms, the proposed approach has good effect in accuracy and computation time for the application of continuously tracking the pedestrians.

Key words： multi-camera system; surveillance video; visual tracking; re-matching

Cite this article

ZHOU Zhipeng, YIN Dong, DING Jinwen, LUO Yuhao, YUAN Mingyue, ZHU Chengfeng . Collaborative Tracking Method in Multi-Camera System[J]. Journal of Shanghai Jiaotong University(Science), 2020 , 25(6) : 802 -810 . DOI: 10.1007/s12204-020-2188-x

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