Human Detection in Video Using Poselet Combine with Gradient Local Auto Correlation Classifier

摘要

In this paper, we propose a new method to identify human in video. By using poselet, a novel technique to detect human with different poses, we combine with Gradient Local Auto Correlation classifier method to reduce the false detection in frames. Through experimental result, our technique has the high accuracy in various environments. And it also removes efficiently false detection.