【文件属性】：
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.