The extraction and effective identification of human motion characteristics for video images

The identification of the body motion for video images with computer visual technology is analyzing and dealing with the video or sequence of images. It can detect the human motion target, extract the motion characteristics in order to understanding the movement and identifying the person. This paper has introduced a new algorithm for the extraction and effective identification of human motion characteristics for video images. The method fuses seven Hu moment invariants of the human body contour and the feature of limbs angles for motion information. Different features have different weights. Finally a nearest neighbor fuzzy classifier is used to classify subjects. This method can effectively solve the problem of a number of data and complex calculations. Experimental results show that the proposed algorithm has effective recognition performance.