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In this paper we present a new scheme for detection and tracking of specific objects in a knowledge-based framework. The scheme uses a supervised learning method: support vector machines. Both problems, detection and tracking, are solved by a common approach: objects are located in video sequences by a SVM classifier. They are next tracked along the time by a SVM tracker with complete 6 parameters...
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