A Multi-Viewpoint Human Tracking Based on Face Detection Using Haar-like Features and a Mean-Shift Tracker
نویسندگان
چکیده
Human tracking is an important function for an automatic surveillance system using a vision sensor. However, it is difficult to identify a human exactly in an image due to the variety of poses. This paper describes a method for automatic human tracking based on face detection using Haar-like features and mean-shift tracking. The method increases its trackability by using multi-viewpoint images. Experimental results showed the validity of the method.
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تاریخ انتشار 2008