Abstract
Matching the visual appearances of the target over consecutive image frames is the most critical issue in video-based object tracking. Choosing an appropriate distance metric for matching determines its accuracy and robustness, and significantly influences the tracking performance. This paper presents a new tracking approach that incorporates adaptive metric into differential tracking method. This new approach automatically learns an optimal distance metric for more accurate matching, and obtains a closed-form analytical solution to motion estimation and differential tracking. Extensive experiments validate the effectiveness of adaptive metric, and demonstrate the improved performance of the proposed new tracking method.
Original language | English (US) |
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Title of host publication | 2011 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2011 |
Pages | 1161-1168 |
Number of pages | 8 |
DOIs | |
State | Published - Sep 22 2011 |
Event | 2011 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2011 - Colorado Springs, CO, United States Duration: Jun 20 2011 → Jun 25 2011 |
Other
Other | 2011 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2011 |
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Country/Territory | United States |
City | Colorado Springs, CO |
Period | 6/20/11 → 6/25/11 |
ASJC Scopus subject areas
- Software
- Computer Vision and Pattern Recognition