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基于人体主颜色特征的多摄像机目标连续跟踪
引用本文:李文灿,黎宁,张燕.基于人体主颜色特征的多摄像机目标连续跟踪[J].计算机与数字工程,2011,39(4):119-122,166.
作者姓名:李文灿  黎宁  张燕
作者单位:南京航空航天大学信息科学与技术学院,南京,210016
摘    要:多摄像机视野之间的运动目标交接一直是广域视频监控系统中的难点.根据人体模型的基本理论,提出了一种基于人体模型分割和主颜色识别的目标连续跟踪算法.该方法无需进行复杂的特征(如SIFT特征)提取,而以目标质心距离结合目标主颜色距离作为判断特征,实现多摄像机目标交接.实验结果表明,该方法能有效准确识别公共区域内的运动目标,并...

关 键 词:多摄像机  目标跟踪  主颜色  人体模型  图像处理

Target Tracking Algorithm Based on Human's Dominant Color Features in Multiple Cameras
Li Wencan,Li Ning,Zhang Yan.Target Tracking Algorithm Based on Human's Dominant Color Features in Multiple Cameras[J].Computer and Digital Engineering,2011,39(4):119-122,166.
Authors:Li Wencan  Li Ning  Zhang Yan
Affiliation:Li Wencan Li Ning Zhang Yan(College of Information Science and Technology,Nanjing University of Aeronautics and Astronautics,Nanjing 210016)
Abstract:Establishing correspondences between moving objects is one of the most difficult problems to multiple cameras tracking in wide area video surveillance system.According to the basic theory of human model,an algorithm based on human model target segmentation and dominant color target recognition has been introduced.The proposed method utilizes the distance of target center and the distance of dominant color to resolve the multi-camera target handoff problem,instead of extracting complex features(such as SIFT features).Experimental results show that the method can achieve robust target matching in overlapping area,and the algorithm complexity is highly simplified.
Keywords:multiple cameras  target tracking  dominant color  human model  image processing
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