摘要
For the problem that appearance of human will be changed in motion, it is a challenge to those capabilities of tracker, related to adaptation of human appearance. In the paper, an improved Tracking-Learning-Detection algorithm, including short-term-tracking, real-time-detection and online-learning, is proposed. Furthermore, scale-invariant feature is applied to the short-term-tracking to determine the location of target in consecutive frames. The video stream of the PETS2006 database is utilized to evaluate the proposed algorithm. Experiments results demonstrate the effectiveness, especially on the short-term-tracking performance.
源语言 | 英语 |
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主期刊名 | Information Technology Applications in Industry |
出版商 | Trans Tech Publications Ltd. |
页 | 2631-2634 |
页数 | 4 |
版本 | PART 1 |
ISBN(印刷版) | 9783037855744 |
DOI | |
出版状态 | 已出版 - 2013 |
活动 | 2012 International Conference on Information Technology and Management Innovation, ICITMI 2012 - Guangzhou, 中国 期限: 10 11月 2012 → 11 11月 2012 |
出版系列
姓名 | Applied Mechanics and Materials |
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编号 | PART 1 |
卷 | 263-266 |
ISSN(印刷版) | 1660-9336 |
ISSN(电子版) | 1662-7482 |
会议
会议 | 2012 International Conference on Information Technology and Management Innovation, ICITMI 2012 |
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国家/地区 | 中国 |
市 | Guangzhou |
时期 | 10/11/12 → 11/11/12 |
指纹
探究 'Improved tracking-learning-detection human tracking algorithm' 的科研主题。它们共同构成独一无二的指纹。引用此
Liang, Y., Pan, F., Yang, B., & Li, W. (2013). Improved tracking-learning-detection human tracking algorithm. 在 Information Technology Applications in Industry (PART 1 编辑, 页码 2631-2634). (Applied Mechanics and Materials; 卷 263-266, 号码 PART 1). Trans Tech Publications Ltd.. https://doi.org/10.4028/www.scientific.net/AMM.263-266.2631