Human tracking with multiple cameras based on face detection and mean shift | IEEE Conference Publication | IEEE Xplore

Human tracking with multiple cameras based on face detection and mean shift


Abstract:

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) ...Show More

Abstract:

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.
Date of Conference: 07-11 December 2011
Date Added to IEEE Xplore: 12 April 2012
ISBN Information:
Conference Location: Karon Beach, Thailand

References

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