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This paper describes a face tracking algorithm for the development of human computer interfaces. This tracking algorithm uses a 2-D vectorial model that captures the relative positions of a set of feature points and allows the implementation of a fast multiple match scheme. This process tries to find in each frame the best arrangement of the model that minimises a measure of dissimilarity - defined as a weighted sum of absolute differences between templates representing featue points and the image. The algorithm is mainly based on a smooth motion assumption and without 3D structure head models. A complete system is described, covering aspects of automatic feature point selection, tracking, detection of tracking failures and recovery from them. The system has been implemented on a low cost platform with frame rates of up to 24 fps.
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Tom
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47--60
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Bibliogr. 21 poz.,Rys., wykr.,
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bwmeta1.element.baztech-article-BAT2-0001-0503