室外场景下由于场景背景条件变化容易导致视频目标跟踪稳定性差。该文提出一种利用红外和可见光传感

器的双通道视频目标跟踪方法。该算法利用可见光图像的目标颜色特征和红外图像的目标轮廓特征，结合均值漂移

算法与水平集曲线演化实现目标定位，并给出了目标尺度和模板更新方法；对多目标跟踪的互相遮挡问题，通过判

断目标合并与分离实现遮挡时多个目标的定位。实验结果表明，该文方法能够有效处理光照变化、阴影、遮挡等情

况，实现目标的稳定跟踪。-Considering the poor stability of the video object tracking methods in outdoor scenes when the

background circumstance variation in object images occurs, a new method is presented for object tracking based on

infrared and visible dual-channel video. It extracts the Hue, Saturation, Value (HSV) color feature in visible image

and the contour feature in infrared image, and combines the Mean Shift (MS) algorithm and the level set evolution

algorithm to realize object location, also, the object scalar and model update mechanism is presented. To address

the multiple object occlusion problems, a method is presented to locate multiple objects by determining the object

merger and separation. Experimental results on infrared and visible dual-channel video demonstrate that the

proposed method can successfully cope with the cases in complex environment such as illumination changes,

shadow, occlusion, etc..