Title

Contour-Based Object Tracking With Occlusion Handling In Video Acquired Using Mobile Cameras

Keywords

Contour tracking; Level sets; Occlusion handling; Shape priors

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. © 2004 IEEE.

Publication Date

11-1-2004

Publication Title

IEEE Transactions on Pattern Analysis and Machine Intelligence

Volume

26

Issue

11

Number of Pages

1531-1536

Document Type

Article

Personal Identifier

scopus

DOI Link

https://doi.org/10.1109/TPAMI.2004.96

Socpus ID

9644269644 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/9644269644

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