Title

Contour-based object tracking with occlusion handling in video acquired using mobile cameras

Authors

Authors

A. Yilmaz; X. Li;M. Shah

Comments

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Abbreviated Journal Title

IEEE Trans. Pattern Anal. Mach. Intell.

Keywords

contour tracking; shape priors; occlusion handling; level sets; SEGMENTATION; Computer Science, Artificial Intelligence; Engineering, Electrical &; Electronic

Abstract

We propose a tracking method which tracks the complete object regions, adapts to changing visual features, and handles occlusions. Tracking is achieved by evolving the contour from frame to frame by minimizing some energy functional evaluated in the contour vicinity defined by a band. Our approach has two major components related to the visual features and the object shape. Visual features (color, texture) are modeled by semiparametric models and are fused using independent opinion polling. Shape priors consist of shape level sets and are used to recover the missing object regions during occlusion. We demonstrate the performance of our method on real sequences with and without object occlusions.

Journal Title

Ieee Transactions on Pattern Analysis and Machine Intelligence

Volume

26

Issue/Number

11

Publication Date

1-1-2004

Document Type

Article

Language

English

First Page

1531

Last Page

1536

WOS Identifier

WOS:000223737000012

ISSN

0162-8828

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