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基于小区域匹配的运动人体跟踪 被引量:1

Moving Human Body Tracking Based on Small-Region Matching
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摘要 为解决在复杂场景(光照变化、物体移动,增减以及遮挡等干扰)下运动人体跟踪的难题,提出了一种新的跟踪方法.该方法通过背景减除提取人体目标的多个小区域,利用模糊推理评价出它们在相邻两帧间的匹配可靠度;通过跟踪各个可靠度高的小区域,并对可靠度低的小区域进行邻域搜索、位置纠正和估计,完成整个人体目标的跟踪.实验结果表明,该方法能解决遮挡和其他物体的干扰,并能适应光照等环境因素的变化. Illumination and moving objects vary dynamically in complex situations,making the tracking of moving human targets difficult.To solve this problem,a new tracking procedure is proposed.Multiple small-regions of human targets are extracted through background subtraction,and their matching reliabilities are evaluated by fuzzy inference.The human target is tracked by means of tracking the small-regions with high matching reliability and of neighborhood searching,position rectifying and estimating the small-regions with low matching reliability.Experimental results showed that the suggested approach can solve occlusion and disturbance by other objects and is adaptive to the illumination and other environmental changes.
出处 《北京理工大学学报》 EI CAS CSCD 北大核心 2006年第11期1004-1008,共5页 Transactions of Beijing Institute of Technology
关键词 小区域 模糊推理 匹配可靠度 人体跟踪 small-region fuzzy inference matching reliability human body tracking
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参考文献2

  • 1周永权,刘中华,刘允才.运动人体的检测和跟踪[J].计算机工程,2004,30(8):153-155. 被引量:6
  • 2L-Q Xu,J L Landabaso,B Lei. Segmentation and Tracking of Multiple Moving Objects for Intelligent Video Analysis[J] 2004,BT Technology Journal(3):140~150

二级参考文献4

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