Object tracking algorithm based on contextual visual saliency
文献类型：期刊论文
| 作者 | Fu, Bao1,2; Peng, Xianrong1 |
| 刊名 | Proceedings of SPIE: 8th International Symposium on Advanced Optical Manufacturing and Testing Technology: Optical Test, Measurement Technology, and Equipment
 |
| 出版日期 | 2016 |
| 卷号 | 9684页码:96842O |
| 关键词 | Image Segmentation Manufacture Optical Testing Target Tracking Tracking (Position) Visualization |
| ISSN号 | 0277-786X |
| DOI | 10.1117/12.2243216 |
| 文献子类 | C |
| 英文摘要 | As to object tracking, the local context surrounding of the target could provide much effective information for getting a robust tracker. The spatial-Temporal context (STC) learning algorithm proposed recently considers the information of the dense context around the target and has achieved a better performance. However STC only used image intensity as the object appearance model. But this appearance model not enough to deal with complicated tracking scenarios. In this paper, we propose a novel object appearance model learning algorithm. Our approach formulates the spatial-Temporal relationships between the object of interest and its local context based on a Bayesian framework, which models the statistical correlation between high-level features (Circular-Multi-Block Local Binary Pattern) from the target and its surrounding regions. The tracking problem is posed by computing a visual saliency map, and obtaining the best target location by maximizing an object location likelihood function. Extensive experimental results on public benchmark databases show that our algorithm outperforms the original STC algorithm and other state-of-The-Art tracking algorithms. © 2016 SPIE. |
| 语种 | 英语 |
| WOS记录号 | WOS:000387429500096 |
| 资助机构 | Chinese Academy of Sciences, Institute of Optics and Electronics (IOE) ; The Chinese Optical Society (COS) |
| 源URL | [http://ir.ioe.ac.cn/handle/181551/8515]  |
| 专题 | 光电技术研究所_光电探测与信号处理研究室（五室） |
| 作者单位 | 1.Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu 2.610209, China 3.University of Chinese Academy of Sciences, Beijing 4.100039, China |
| 推荐引用方式 GB/T 7714 | Fu, Bao,Peng, Xianrong. Object tracking algorithm based on contextual visual saliency[J]. Proceedings of SPIE: 8th International Symposium on Advanced Optical Manufacturing and Testing Technology: Optical Test, Measurement Technology, and Equipment,2016,9684:96842O. |
| APA | Fu, Bao,&Peng, Xianrong.(2016).Object tracking algorithm based on contextual visual saliency.Proceedings of SPIE: 8th International Symposium on Advanced Optical Manufacturing and Testing Technology: Optical Test, Measurement Technology, and Equipment,9684,96842O. |
| MLA | Fu, Bao,et al."Object tracking algorithm based on contextual visual saliency".Proceedings of SPIE: 8th International Symposium on Advanced Optical Manufacturing and Testing Technology: Optical Test, Measurement Technology, and Equipment 9684(2016):96842O. |
入库方式： OAI收割
来源：光电技术研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。