By Topic

Extended Online HECOL Based Multi-camera Object Tracking

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Jingjing Fan ; Dept. of Electron. Eng., Fudan Univ., Shanghai, China ; Qing Lin ; Bo Hu

The tracking robustness can be improved greatly using multi-camera system because the overlapping field of view provides more information of the objects. However, traditional template matching based multi-camera object tracking suffers from the tracking errors brought by view point differences. To solve the problem, we propose the extended online HECOL (Homography and Epipolar-based Consistent Labeling) to communicate templates between different camera views which is no longer limited to the ground plane. We use the Structural Similarity Image Measurement (SSIM) as the criteria to match between different views. Besides, we applied the Gaussian model and Bayesian statistics to fuse different cameras' tracking results of last moment. Experiments show that the proposed way of transferring different view points' template reduces tracking error when occlusion and 3D rotation occur.

Published in:

Electrical and Control Engineering (ICECE), 2010 International Conference on

Date of Conference:

25-27 June 2010