TIIS (한국인터넷정보학회)
Current Result Document :
| 한글제목(Korean Title) |
Robust Target Model Update for Mean-shift Tracking with Background Weighted Histogram |
| 영문제목(English Title) |
Robust Target Model Update for Mean-shift Tracking with Background Weighted Histogram |
| 저자(Author) |
Yong-Hyun Jang
Jung-Keun Suh
Ku-Jin Kim
Yoo-Joo Choi
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| 원문수록처(Citation) |
VOL 10 NO. 03 PP. 1377 ~ 1389 (2016. 03) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
This paper presents a target model update scheme for the mean-shift tracking with background weighted histogram. In the scheme, the target candidate histogram is corrected by considering the back-projection weight of each pixel in the kernel after the best target candidate in the current frame image is chosen. In each frame, the target model is updated by the weighted average of the current target model and the corrected target candidate. We compared our target model update scheme with the previous ones by applying several test sequences. The experimental results showed that the object tracking accuracy was greatly improved by using the proposed scheme.
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| 키워드(Keyword) |
visual object tracking
mean-shift tracking
target model update
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| 파일첨부 |
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