Visual tracking based on multiple cameras with MHS cooperation strategy

Hui Pin Huang, Ming-Yang Cheng, Shang Shiun Shie

研究成果: Paper同行評審

2 引文 斯高帕斯(Scopus)

摘要

In this paper, multiple cameras are used to implement a multi-purpose real-time visual tracking system. A modified adaptive background subtraction method is used to detect moving objects, and a multi-cue matching approach is employed to track a moving target. The epipolar constraint and color histogram matching are used to deal with the correspondence problem that occurs when multiple cameras are used without camera calibration being performed. An effective and robust Master-Helper-Slave (MHS) cooperation strategy is proposed to further improve the tracking performance. An active PTZ camera is integrated to perform dynamic tracking. The proposed visual tracking system can continuously track a moving target and estimate its corresponding position in the field of view (FOV) of each camera, even if the target is occluded in some of the cameras' FOVs. Experimental results show that the proposed approach exhibits satisfactory performance.

原文English
頁面2142-2147
頁數6
DOIs
出版狀態Published - 2009 十二月 1
事件35th Annual Conference of the IEEE Industrial Electronics Society, IECON 2009 - Porto, Portugal
持續時間: 2009 十一月 32009 十一月 5

Other

Other35th Annual Conference of the IEEE Industrial Electronics Society, IECON 2009
國家/地區Portugal
城市Porto
期間09-11-0309-11-05

All Science Journal Classification (ASJC) codes

  • 控制與系統工程
  • 電氣與電子工程

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