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Multiple human tracking based on distributed collaborative cameras
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AI
DOI：10.1007/s11042-015-3163-7.png)
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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.
Keyword:
Multi-object tracking
Collaborative cameras
Video surveillance
期刊
IF:
3
论文数:
1.9W
被引数:
3.2W
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