关键词: 步态识别, 可变区域面积, 加权处理, 最近邻分类器

Abstract: In order to improve the gait recognition rate, depending on the extent of the contribution of the different body parts for identification, a new gait recognition algorithm based on the weighted area features is proposed, dividing the body contour silhouette into a plurality of variable regions, extracting the coverage of each region area as gait features, calculating the contribution of each element of the feature vector, getting the feature vector weighted, improving the nearest neighbor classifier for classifying, and finally conducting plenty of experiments on the UCSD and CASIA gait databases. Experimental results show the high recognition rate of this method.

Key words: gait recognition, variable area, weighted approach, nearest neighbor classifier