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

    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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