Single target tracking algorithm based on multi-feature fusion
文献类型：会议论文
| 作者 | Yue, Yang2; Wang, Guogang2 ; Liu YP(刘云鹏)1
|
| 出版日期 | 2020 |
| 会议日期 | August 25-27, 2020 |
| 会议地点 | Xiamen, China |
| 关键词 | Target tracking Multi-feature fusion Correlation filtering Color features |
| 页码 | 1-10 |
| 英文摘要 | Aiming at the problems of target scale change, color similarity and occlusion during target tracking, this paper proposes a single target tracking algorithm based on the fusion feature of color feature (CN) and direction gradient histogram (HOG). Under the relevant filtering and tracking framework, the original RGB color space is mapped to the color attribute space to reduce the target color from being affected by environmental changes during the tracking process. The adaptive component dimensionality reduction through principal component analysis (PCA) method, features The number of channels drops from 10 to 2, and the cost of crossing different feature subspaces is increased by smoothing constraints. At the same time, the direction gradient histogram is extracted, and the feature map is calculated by kernel correlation filtering to obtain the correlation response map, and the maximum response value is found from the response map to determine the target position. 36 groups of color video sequences were selected on the OTB standard data set for experiments. The popular correlation filter tracking algorithm was compared. The experimental results show that the algorithm has high recognition accuracy and can be used in complex environments such as illumination changes, target occlusion and deformation. Stable tracking target. © 2020 SPIE. |
| 产权排序 | 2 |
| 会议录 | AOPC 2020: Optical Sensing and Imaging Technology
 |
| 会议录出版者 | SPIE |
| 会议录出版地 | Bellingham, USA |
| 语种 | 英语 |
| ISSN号 | 0277-786X |
| ISBN号 | 978-1-5106-3955-3 |
| WOS记录号 | WOS:000651815600026 |
| 源URL | [http://ir.sia.cn/handle/173321/28353]  |
| 专题 | 沈阳自动化研究所_光电信息技术研究室 |
| 通讯作者 | Yue, Yang |
| 作者单位 | 1.Shenyang Institute of Automation Chinese Academy of Sciences, China 2.School of Information Engineering, Shenyang University of Chemical Technology, China |
| 推荐引用方式 GB/T 7714 | Yue, Yang,Wang, Guogang,Liu YP. Single target tracking algorithm based on multi-feature fusion[C]. 见:. Xiamen, China. August 25-27, 2020. |
入库方式： OAI收割
来源：沈阳自动化研究所
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