Body gait tracking with a Fisher Discriminance on feature analyse

In order to extract the gait sequence features better, this paper presents a method of feature extraction algorithm based on Fisher Discriminance. First, extract the profile silhouette by background cut off method, and then get the gait cycle by the change of their center of mass, at last convert the feature space. Then weight the gait characteristic matrix by Fisher Discriminance to make characteristics of the gait more obvious. Finally, test the algorithm by Nearest Neighbor Method.The results show that this algorithm has a good performance of recognition.