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

Open Access
Research Article
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Part of the following topical collections:
  1. Video Tracking in Complex Scenes for Surveillance Applications

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.

Keywords

Object Tracking Fusion Algorithm Real Life Scenario Outlier Rejection Rejection Algorithm 

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Copyright information

© 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.

Authors and Affiliations

  1. 1.Arts, Media and Engineering ProgramArizona State UniversityTempeUSA
  2. 2.Department of Computer Science and EngineeringArizona State UniversityTempeUSA
  3. 3.Department of Electrical EngineeringArizona State UniversityTempeUSA

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