| 한글제목(Korean Title) |
A novel visual tracking system with adaptive incremental extreme learning machine |
| 영문제목(English Title) |
A novel visual tracking system with adaptive incremental extreme learning machine |
| 저자(Author) |
Zhihui Wang
Sook Yoon
Dong Sun Park
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| 원문수록처(Citation) |
VOL 11 NO. 01 PP. 0451 ~ 0465 (2017. 01) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
This paper presents a novel discriminative visual tracking algorithm with an adaptive incremental extreme learning machine. The parameters for an adaptive incremental extreme learning machine are initialized at the first frame with a target that is manually assigned. At each frame, the training samples are collected and random Haar-like features are extracted. The proposed tracker updates the overall output weights for each frame, and the updated tracker is used to estimate the new location of the target in the next frame. The adaptive learning rate for the update of the overall output weights is estimated by using the confidence of the predicted target location at the current frame. Our experimental results indicate that the proposed tracker can manage various difficulties and can achieve better performance than other state-of-the-art trackers.
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| 키워드(Keyword) |
Extreme learning machine
visual tracking
overall output weights
random Haar-like features
adaptive learning rate
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| 파일첨부 |
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