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Multiple human tracking based on distributed collaborative cameras

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Abstract

Due to the horizon limitation of single camera, it is difficult for single camera based multi-object tracking system to track multiple objects accurately. In addition, the possible object occlusion and ambiguous appearances often degrade the performance of single camera based tracking system. In this paper, we propose a new method of multi-object tracking by using multi-camera network. This method can handle many problems in the existing tracking systems, such as partial and total occlusion, ambiguity among objects, time consuming and etc. Experimental results of the prototype of our system on three pedestrian tracking benchmarks demonstrate the effectiveness and practical utility of the proposed method.

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Acknowledgments

This work is partially supported by National High Technology Research and Development Program of China (863 program) under Contract No. 2013AA013801, the NSFC funds of China under Contract No. 61370185, 61170193, 61401125, the Natural Science Foundation of Guangdong Province, China, under Contract No. S2013010013432, S2012020011081, S2013040012570, and the Science and Technology Plane of Guangdong Province, under Contract No. 2013B010406005.

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Authors and Affiliations

  1. Huizhou University, Huizhou, China

    Zhaoquan Cai

  2. Sun Yat-sen University, Guangzhou, China

    Shiyi Hu, Yukai Shi, Qing Wang & Dongyu Zhang

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  1. Zhaoquan Cai
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Correspondence to Dongyu Zhang.

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Cai, Z., Hu, S., Shi, Y. et al. Multiple human tracking based on distributed collaborative cameras. Multimed Tools Appl 76, 1941–1957 (2017). https://doi.org/10.1007/s11042-015-3163-7

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