This article is part of the series Video Tracking in Complex Scenes for Surveillance Applications.

Open Access Research Article

Robust Real-Time 3D Object Tracking with Interfering Background Visual Projections

Huan Jin12* and Gang Qian13

Author Affiliations

1 Arts, Media and Engineering Program, Arizona State University, Tempe, AZ 85287, USA

2 Department of Computer Science and Engineering, Arizona State University, Tempe, AZ 85287, USA

3 Department of Electrical Engineering, Arizona State University, Tempe, AZ 85287, USA

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EURASIP Journal on Image and Video Processing 2008, 2008:638073  doi:10.1155/2008/638073


The electronic version of this article is the complete one and can be found online at: http://jivp.eurasipjournals.com/content/2008/1/638073


Received: 2 November 2007
Revisions received: 8 March 2008
Accepted: 9 May 2008
Published: 9 June 2008

© 2008 The Author(s).

This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

This paper presents a robust real-time object tracking system for human computer interaction in mediated environments with interfering visual projection in the background. Two major contributions are made in our research to achieve robust object tracking. A reliable outlier rejection algorithm is developed using the epipolar and homography constraints to remove false candidates caused by interfering background projections and mismatches between cameras. To reliably integrate multiple estimates of the 3D object positions, an efficient fusion algorithm based on mean shift is used. This fusion algorithm can also reduce tracking errors caused by partial occlusion of the object in some of the camera views. Experimental results obtained in real life scenarios demonstrate that the proposed system is able to achieve decent 3D object tracking performance in the presence of interfering background visual projection.

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