TR#403: Real-Time Closed-World Tracking

Stephen S. Intille, James W. Davis and Aaron F. Bobick

Appears in: IEEE Conference on Computer Vision and Pattern Recognition (CVPR'97)

A real-time tracking algorithm that uses contextual information is described. The method is capable of simultaneously tracking multiple, non-rigid objects when erratic movement and object collisions are common. A closed-world assumption is used to adaptively select and weight image features used for correspondence. Results of algorithm testing and the limitations of the method are discussed. The algorithm has been used to track children in an interactive, narrative playspace.