| Summary: | 碩士 === 華梵大學 === 資訊管理學系碩士班 === 96 === In this thesis, a system for tracking hands without markers in complex scenes has been developed. Study of particle filters and CONDENSATION, and for the tracking system in hand . Particle filter is used to predict the center position of the hand, the hand template matching is used to track a hand, and the CONDENSATION (CONditional DENSity PropagATION) is used to track the contour of hand. In the particle filter. Given the image in the previous time, the color histogram of an image patch in the center position of the hand can be obtained. After the spread of the particles in the current image, the color histograms between the two image patches in the previous and current images are used as the similarity measurement. Here, the similarity is converted to be the weights, and the expectation is used for predicting the hand center in the next image. In the hand template matching. In generating the hand templates, 36 hand templates are generated for a hand pose (with rotation of 10 degrees for a hand template). According to the edge orientation, each hand template is divided into several channels. Each image has been processed using the following procedures: edge orientation and distance transform (DT). The best hand location can be found by using the hand template matching. In this thesis, we proposed to combine the particle filters with the template matching for hand tracking. Using the particle filter, the possible regions for the hand template matching can be reduced. It means that it can speed up the system. In this thesis, some preliminary experimental results for tracking the contours of a hand in implementing CONDENSATION algorithm.
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