Visual Tracking via Saliency Weighted Sparse Coding Appearance Model

CASIA OpenIR > 中科院工业视觉智能装备工程实验室 > 精密感知与控制

	Visual Tracking via Saliency Weighted Sparse Coding Appearance Model
	Li, Wanyi1 ; Wang, Peng1 ; Qiao, Hong2
	2014
会议名称	International Conference on Pattern Recognition (ICPR)
会议录名称	International Conference on Pattern Recognition (ICPR)
期号	无
页码	4092-4097
会议日期	2014
会议地点	Stockholm
摘要	Sparse coding has been used for target appearance modeling and applied successfully in visual tracking. However, noise may be inevitably introduced into the representation due to background clutter. To cope with this problem, we propose a saliency weighted sparse coding appearance model for visual tracking. Firstly, a spectral filtering based visual attention computational model, which combines both bottom-up and top-down visual attention, is proposed to calculate saliency map. Secondly, pooling operation in sparse coding is weighted by calculated saliency map to help target representation focus on distinctive features and suppress background clutter. Extensive experiments on a recently proposed tracking benchmark demonstrate that the proposed algorithm outperforms state-of-the-art methods in tracking objects under background clutter.
关键词	Visual Tracking Saliency Visual Attention Sparse Coding
收录类别	EI
语种	英语
文献类型	会议论文
条目标识符	http://ir.ia.ac.cn/handle/173211/4818
专题	中科院工业视觉智能装备工程实验室_精密感知与控制
通讯作者	Li, Wanyi
作者单位	1.Research Center of Precision Sensing and Control Institute of Automation, Chinese Academy of Sciences 2.State Key Laboratory of Management and Control for Complex Systems Institute of Automation, Chinese Academy of Sciences
第一作者单位	中国科学院自动化研究所
通讯作者单位	中国科学院自动化研究所
推荐引用方式 GB/T 7714	Li, Wanyi,Wang, Peng,Qiao, Hong. Visual Tracking via Saliency Weighted Sparse Coding Appearance Model[C],2014:4092-4097.

条目包含的文件		下载所有文件
文件名称/大小	文献类型	版本类型	开放类型	使用许可
ICPR2014_Visual trac（695KB）	会议论文	作者接受稿	开放获取	CC BY-NC-SA	浏览下载