【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.更多还原

【Abstract】 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.更多还原