Object Tracking by Adaptive Modeling

This paper addresses the problem of object tracking in image sequences. The approach taken is based upon adaptive statistical models. An object selected in a frame by a user is tracked throughout the sequence by using a blob-like description of its features. The object features are continuously updated by using the on-line version of the Expectation-Maximization algorithm. The proposed object description results in a flexible representation.

• Type: Conference
• Year: 2000
• Where: ICIP
• Authors: Andrei Rares, Marcel J. T. Reinders
• Keywords: Adaptive Statistical Models, ICIP 2000, Image Processing, Object Features, Object Tracking