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| Tracking regions of interest in moving people |
| 1.School of Computer Science and Telecommunications Engineering,Jiangsu University,Zhenjiang,Jiangsu 212013,China;2.School of Computer Science and Technology,Nanjing University of Science and Technology,Nanjing,Jiangsu 210094,China |
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Abstract In order to improve the performance in tracking moving people when they were partially occluded,a new joint tracker of good robustness was proposed.The regions of interest（ROI） from human motion area were firstly obtained by an improved saliency map algorithm,and then ROI was tracked by the method proposed.The advantages of sum of squared differences（SSD） and color-based Mean-Shift（MS） tracker were adopted in the joint tracker.Kalman filter was used to evaluate the state.Simultaneously,the joint points which were produced by joint saliency map algorithm were used to track ROI instead of the global ones.Results of experiments show that the joint tracker is better when the ROI is partially occluded.The method is suitable for real-time tracking the regions and possesses a good robust performance.
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2010, Vol. 31 
