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The Scientific World Journal
Volume 2014 (2014), Article ID 793769, 9 pages
Research Article

Real-Time Tracking by Double Templates Matching Based on Timed Motion History Image with HSV Feature

College of Information Science and Engineering, Hunan University, Changsha 410082, China

Received 30 August 2013; Accepted 21 November 2013; Published 23 January 2014

Academic Editors: Y. Lu and F. Yu

Copyright © 2014 Zhiyong Li et al. 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.


It is a challenge to represent the target appearance model for moving object tracking under complex environment. This study presents a novel method with appearance model described by double templates based on timed motion history image with HSV color histogram feature (tMHI-HSV). The main components include offline template and online template initialization, tMHI-HSV-based candidate patches feature histograms calculation, double templates matching (DTM) for object location, and templates updating. Firstly, we initialize the target object region and calculate its HSV color histogram feature as offline template and online template. Secondly, the tMHI-HSV is used to segment the motion region and calculate these candidate object patches’ color histograms to represent their appearance models. Finally, we utilize the DTM method to trace the target and update the offline template and online template real-timely. The experimental results show that the proposed method can efficiently handle the scale variation and pose change of the rigid and nonrigid objects, even in illumination change and occlusion visual environment.