基于OpenCV开源平台开发了一种多运动目标检测和跟踪的自动化智能方案.针对多个运动目标在复杂场景中的情况,无法根据背景差和帧间差的方法来确定目标是否首次出现,根据新目标期望出现的位置范围和轮廓面积大小采用筛选法来判断目标的性质.利用CAMShift跟踪算法提取每个目标的颜色特征信息,实现对多个运动目标的跟踪,最后将运动目标的轮廓和运动轨迹描述出来.实验结果表明,在目标颜色特征明显的情况下文中方法具有很好的鲁棒性和精确性.%Based on OpenC V open source platform, an automated and intelligent program for more moving targets' detection and tracking is developed. For multiple moving targets in complex scenes of the situation, can't be according to background subtraction and the frame difference method to determine whether the target the first time appears, by preparation, according to the area where a new target expected to appear to determine whether the target is new. CAMShift tracking algorithm can be adapted to extract the color feature information for each target to achieve the tracking of multiple moving targets. Finally, the outline and the trajectory of moving objects are described. Experimental results show that the method has good robustness and accuracy if the targets have obvious color features.
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