A Stochastic Approach to Tracking Objects Across Multiple Cameras

This paper is about tracking people in real-time as they move through the non-overlapping fields of view of multiple video cameras. The paper builds upon existing methods for tracking moving objects in a single camera. The key extension is the use of a stochastic transition matrix to describe people’s observed patterns of motion both within and between fields of view. The parameters of the model for a particular environment are learnt simply by observing a person moving about in that environment. No knowledge of the environment or the configuration of the cameras is required.

• Type: Conference
• Year: 2004
• Where: AUSAI
• Authors: Anthony R. Dick, Michael J. Brooks
• Keywords: Artificial Intelligence, AUSAI 2004, Multiple Video Cameras, People’s Observed Patterns, Stochastic Transition Matrix