Research on machine vision technology based detection and tracking of objects on video image

In order to improve the detection and tracking speed of the objects on the video image, shorten the object tracking time, a method of machine vision technology based detection and tracking of the objects on the video image is proposed. The machine vision technology is analyzed and then introduced into the detection and tracking of the objects on the video image. The pixel difference operation is carried out between the video image and its front one to obtain a binary difference video image. The detection of the objects on the video image is completed by adjustment of threshold value. Finally, according to Camshift tracking algorithm flow, the color probability distribution map of the objects on the video image is obtained to complete the object tracking. Experimental results show that the tracking time of this method is significantly shortened compared with the traditional detection and tracking methods.