Open Access

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

EURASIP Journal on Image and Video Processing20082008:638073

Received: 2 November 2007

Accepted: 9 May 2008

Published: 9 June 2008


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.


Object TrackingFusion AlgorithmReal Life ScenarioOutlier RejectionRejection Algorithm

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Authors’ Affiliations

Arts, Media and Engineering Program, Arizona State University, Tempe, USA
Department of Computer Science and Engineering, Arizona State University, Tempe, USA
Department of Electrical Engineering, Arizona State University, Tempe, USA


© H. Jin and G. Qian. 2008

This article is published under license to BioMed Central Ltd. 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.