下载后可任意编辑智能视频监控中目标跟踪算法讨论及应用学生：指导老师：淮南师范学院物理与电子信息系摘要：视频监控中目标跟踪算法的讨论及应用是实现视频监控系统的关键技术之一。实际视频监控系统中的场景往往是错综复杂、变化无常的，实现具有鲁棒性、准确性和实时性的运动目标检测和跟踪是当前智能视频监控技术努力的方向。本文讨论了静态场景下运动目标跟踪的相关算法，给出了运动目标跟踪的实现方案，由于 Lucas Kanade 光流跟踪算法对目标仅仅跟踪其质心，存在跟踪目标容易丢失且鲁棒性不高的缺点；最小绝对差算法企图搜索目标模板、计算量大、实时性差；针对这两种算法在目标跟踪方面的不足，对其进行了相应的改进和完善。通过 Lucas Kanade 光流跟踪算法预测目标质心位置、并设定目标搜索区域减小最小绝对差算法计算量；将模板匹配定位之后更正的目标质心做为下一帧 Lucas Kanade 光流跟踪算法跟踪的特征点，可以减小单一光流法预测目标质心带来的误差，实现可靠的跟踪。关键词：运动目标跟踪；Lucas Kanade 光流法；模板匹配Abstract：Video target tracking algorithm research and Application is one of the key techniques which implements intelligent video surveillance system(IVSS). The real video surveillance system applied environment is usually complex, full of variety. The realization of moving object detection and tracking with veracity, real-time performanceand robustness is the direction for current IVSS study.This paper studied under static scene tracking algorithms movement are given, and the implementation scheme of moving object tracking Kanade light flow, because Lucas to target tracking algorithm only tracking its existing track the target centroid, easy to lose and robustness is not high weaknesses; Minimum absolute difference algorithm map search target template, large amount of calculation, real-time poor; In view of these two algorithm in target tracking deficiency, analyses the corresponding improvement and perfection. By Lucas Kanade light flow forecast target centroid po...
