Multi-camera person tracking in crowded environments

Reliably tracking people throughout a camera network is an important capability in areas such as law enforcement, homeland protection, and healthcare. In this paper we will provide an overview of GE Global Research's tracking system and evaluate it against a subset of the PETS 2009 dataset. The tasks of counting, density estimation, multiperson tracking as well as the tracking of selected individuals will be addressed. Qualitative and quantitative performance results will be reported.