文件名称：Tracking Multiple People with a Multi-Camera System
文件大小：929KB
文件格式：PDF
更新时间：2012-05-27 10:06:25
Tracking Multiple People with a
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 views. 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.