Improving the robustness of parametric shape tracking with switched multiple models

✍ Scribed by J.C. Nascimento; J.S. Marques

• Publisher: Elsevier Science
• Year: 2002
• Tongue: English
• Weight: 211 KB
• Volume: 35
• Category: Article
• ISSN: 0031-3203
• DOI: 10.1016/s0031-3203(01)00244-8

✦ Synopsis

This paper addresses the problem of tracking objects with complex motion dynamics or shape changes. It is assumed that some of the visual features detected in the image (e.g., edge strokes) are outliers i.e., they do not belong to the object boundary. A robust tracking algorithm is proposed which allows to e ciently track an object with complex shape or motion changes in clutter environments. The algorithm relies on the use of multiple models, i.e., a bank of stochastic motion models switched according to a probabilistic mechanism. Robust ÿltering methods are used to estimate the label of the active model as well as the state trajectory.