士兵射击视频对抗系统的运动目标捕捉与跟踪

对士兵射击视频对抗系统中运动士兵目标检测的跟踪过程进行研究。针对捕捉与跟踪目标算法的实时性问题，在传统的背帚差分法基础上，提出一种优化捕捉区域的算法，将“捕捉带”缩小为“捕捉线”，在保证检测精度的前提下，尽可能缩短对非零值像素点信息的搜索时间；运用区域生长法对跟踪区域内对象进行合理合并，从而加快士兵运动轨迹的检测速度，提高系统的实时性。

A Novel Motion Object Capture and Tracking Algorithm Based on the Soldiers Shooting System

A comprehensive survey of the capture and tracking process of motion object based on the soldiers shooting system is presented. On the basis of the traditional background subtraction approach, an optimized algorithm which narrows the scope of capture zone is proposed. This algorithm proves to be favorable shorten time of searching all zero gray value pixels on the condition that it ensures the accuracy of capture motion object. Furthermore, the region growing method is used to merge the object of adjacent during the tracking process. Experiments on video sequences of the soldiers shooting, the algorithm has the advantage of high-speed, anti-noise and it can detect the motion object.