TIIS (한국인터넷정보학회)
Current Result Document :
| 한글제목(Korean Title) |
A robust Correlation Filter based tracker with rich representation and a relocation component |
| 영문제목(English Title) |
A robust Correlation Filter based tracker with rich representation and a relocation component |
| 저자(Author) |
Menglei Jin
Weibin Liu
Weiwei Xing
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| 원문수록처(Citation) |
VOL 13 NO. 10 PP. 5161 ~ 5178 (2019. 10) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
Correlation Filter was recently demonstrated to have good characteristics in the field of video object tracking. The advantages of Correlation Filter based trackers are reflected in the high accuracy and robustness it provides while maintaining a high speed. However, there are still some necessary improvements that should be made. First, most trackers cannot handle multi-scale problems. To solve this problem, our algorithm combines position estimation with scale estimation. The difference from the traditional method in regard to the scale estimation is that, the proposed method can track the scale of the object more quickly and effective. Additionally, in the feature extraction module, the feature representation of traditional algorithms is relatively simple, and furthermore, the tracking performance is easily affected in complex scenarios. In this paper, we design a novel and powerful feature that can significantly improve the tracking performance. Finally, traditional trackers often suffer from model drift, which is caused by occlusion and other complex scenarios. We introduce a relocation component to detect object at other locations such as the secondary peak of the response map. It partly alleviates the model drift problem.
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| 키워드(Keyword) |
Visual tracking
Kernelized Correlation Filter
feature representation
scale estimation
relocation component
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| 파일첨부 |
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