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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Ling Cai Lei He Yamashita, T. Yiren Xu Yuming Zhao Xin Yang |
| Copyright Year | 1991 |
| Abstract | This paper presents a new object tracking model that systematically combines region and boundary features. Besides traditional region features (intensity/color and texture), we design a new boundary-based object detector for accurate and robust tracking in low-contrast and complex scenes, which usually appear in the commonly used monochrome surveillance systems. In our model, region feature-based energy terms are characterized by probability models, and boundary feature terms include edge and frame difference. With a new weighting term, a novel energy functional is proposed to systematically combine the region and boundary-based components, and it is minimized by a level set evolution equation. For an efficient computational cost, motion information is utilized for new frame level set initialization. Compared with region feature-based models, the experimental results show that the proposed model significantly improves the performance under different circumstances, especially for objects in low-contrast and complex environments. |
| Sponsorship | IEEE Circuits and Systems Society |
| Starting Page | 1784 |
| Ending Page | 1794 |
| Page Count | 11 |
| File Size | 1138612 |
| File Format | |
| ISSN | 10518215 |
| Volume Number | 21 |
| Issue Number | 12 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-12-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Tracking Feature extraction Level set Bayesian methods Image color analysis Robustness level set Bayesian model contour evolution energy functional feature fusion kernel density estimation |
| Content Type | Text |
| Resource Type | Article |
| Subject | Electrical and Electronic Engineering Media Technology |
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