文件名称:
Tracking Multiple People with a Multi-Camera System
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文件大小: 929kb
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上传时间: 2009-05-07
详细说明: We present a multi-camera system based on Bayesian modality fusion to track multiple people in an indoor environment. Bayesian networks are used to combine multiple modalities for matching subjects between consecutive imge frames and between multiple camera view s. Unlike other occlusion reasoning methods, we use multiple cameras in order to obtain continuous visual information of people in either or both cameras so that they can be tracked through interactions. Results demonstrate that the system can maintain people’s identities by using multiple cameras cooperatively. ...展开收缩
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