Discriminative feature selection for visual tracking
文献类型：会议论文
| 作者 | Zhou, Wei ; Ma JK(马俊凯); Luo HB(罗海波); Chang Z(常铮); Hui B(惠斌); Song YC(宋颖超)
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| 出版日期 | 2017 |
| 会议名称 | 6th Conference on Advances in Optoelectronics and Micro/Nano-Optics, AOM 2017 |
| 会议日期 | April 23-26, 2017 |
| 会议地点 | Nanjing, China |
| 页码 | 1-8 |
| 通讯作者 | Ma JK(马俊凯) |
| 中文摘要 | Visual tracking is an important role in computer vision tasks. The robustness of tracking algorithm is a challenge. Especially in complex scenarios such as clutter background, illumination variation and appearance changes etc. As an important component in tracking algorithm, the appropriateness of feature is closed related to the tracking precision. In this paper, an online discriminative feature selection is proposed to provide the tracker the most discriminative feature. Firstly, a feature pool which contains different information of the image such as gradient, gray value and edge is built. And when every frame is processed during tracking, all of these features will be extracted. Secondly, these features are ranked depend on their discrimination between target and background and the highest scored feature is chosen to represent the candidate image patch. Then, after obtaining the tracking result, the target model will be update to adapt the appearance variation. The experiment show that our method is robust when compared with other state-of-the-art algorithms. © Published under licence by IOP Publishing Ltd. |
| 收录类别 | EI ; CPCI（ISTP） |
| 产权排序 | 1 |
| 会议主办者 | Jiangsu Optical Society; Southeast University; The Optical Society of America |
| 会议录 | 6th Conference on Advances in Optoelectronics and Micro/Nano-Optics
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| 会议录出版者 | IOP |
| 会议录出版地 | Bristol, UK |
| 语种 | 英语 |
| ISSN号 | 1742-6588 |
| WOS记录号 | WOS:000412799900046 |
| 源URL | [http://ir.sia.cn/handle/173321/20796]  |
| 专题 | 沈阳自动化研究所_光电信息技术研究室 |
| 作者单位 | 1.University of Chinese Academy of Sciences, Beijing, China 2.AVIC Jiangxi HONGDU Aviation Industry Group LTD, Nanchang, China 3.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China 4.Key Laboratory of Opto-Electronic Information Processing CAS, Shenyang, China |
| 推荐引用方式 GB/T 7714 | Zhou, Wei,Ma JK,Luo HB,et al. Discriminative feature selection for visual tracking[C]. 见:6th Conference on Advances in Optoelectronics and Micro/Nano-Optics, AOM 2017. Nanjing, China. April 23-26, 2017. |
入库方式： OAI收割
来源：沈阳自动化研究所
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