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