Human tracking with multiple cameras based on face detection and mean shift
説明
Human tracking is an important function to an automatic surveillance system using a vision sensor. Human face is one of the most significant features to detect person(s) in an image. However, face is not always observed from a single camera. Therefore, it is difficult to identify a person exactly in an image due to the variety of poses. This paper describes a method for automatic human tracking based on the face detection using Haar-like features and the mean shift tracking method. Additionally, the method increases its trackability by using multi-viewpoint images. The validity of the proposed method is shown through experiment.
収録刊行物
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- 2011 IEEE International Conference on Robotics and Biomimetics
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2011 IEEE International Conference on Robotics and Biomimetics 1664-1671, 2011-12-01
IEEE
