In combination of successive inter-frame difference and ostu threshold to segment the pretreated image,we can extract the motion region.

On the bases of the inter-frame difference, we used the motion information of sequence images to extract binary image edges.

The moving target can be detected and recognized by inter-frame difference algorithm.

The main methods of face tracking were introduced,and a new method based on both inter-frame differential and static character was put forward.

This article utilize the visual character that eyes are sensitive to the rim of an image(gratitude of space),we combine detection of movements between frames with detection of the rim of image to improve the frame difference algorithm.

At the same time, the research results of global motion estimation is applied to moving objects detection in dynamic sequences, which is realized with background matching and frame difference.

A novel real-time target detection algorithm based on combining gray correlation frame difference and background difference was presented.

Aimed at the real-time and veracity of current algorithm for detecting moving objects,an algorithm based on two consecutive frames subtraction and codebook model is presented.