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Group Behavior Recognition using Dynamic Bayesian Networks: Understanding intent

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Group Behavior Recognition using Dynamic Bayesian Networks. Most ofthis thesis is consecrated in the detailedpresentation of the model as well as the algorithmresponsible for behavior recognition. Our model istested on two different applications involving humangesture analysis and multimodal fusion of audio andvideo data.

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