Passive people Identification using video footage of them walking

Now , gait recognition is one of the biometric methods that has received more and more attention researchers in machine vision and pattern recognition. However, one of the main challenges of technology is variations caused by covariate factors such as fast and slow gait, clothing, carrying conditions.this reserch tried is to provide issues in three basic parts: preprocessing, feature extraction, and classification. Using the Cassia data set, which is a large set with different gestures and carrying conditions. First, organized a new Spatio-temporal database with horizontal profiling of the silhouette. next, feature extracting by PCA. Finally, the SVM algorithm is used and classifies and identifies. The test results show the efficiency of the proposed algorithm under different conditions.