CASIA OpenIR  > 精密感知与控制研究中心  > 精密感知与控制
Top–down visual attention integrated particle filter for robust object tracking
Li, Wanyi1; Wang, Peng1; Qiao, Hong2,3
Source PublicationSignal Processing: Image Communication
2016-04
Volume43Issue:Pages:28-41
Other AbstractNumerous tracking methods have been proposed and work well under many challenging conditions. However, there are still some problems need to be solved, such as abrupt motion and longtime occlusion. Visual attention mechanism enables humans to efficiently select the visual data of most potential interest and results in robust object tracking. Inspired by this fact, this paper presents a top–down visual attention computational model based on frequency analysis and integrates it into particle filter to solve the above mentioned problems. Given an image sequence, target-related salient regions are detected by the proposed top–down visual attention. Then the target is tracked by the proposed local and global search processes in which the salient regions are incorporated into particle filter. Comparison experiments on challenging sequences demonstrate the effectiveness of the proposed method.
KeywordObject Tracking Visual Attention Saliency Particle Filter Abrupt Motion Occlusion
DOIhttp://dx.doi.org/10.1016/j.image.2016.01.001
Indexed BySCI ; SSCi
Language英语
WOS IDWOS:000374711900003
Citation statistics
Cited Times:8[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/12105
Collection精密感知与控制研究中心_精密感知与控制
Corresponding AuthorLi, Wanyi
Affiliation1.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
3.CAS Centre for Excellence in Brain Science and Intelligence Technology (CEBSIT)
First Author AffilicationChinese Acad Sci, Inst Automat, Res Ctr Precis Sensing & Control, Beijing 100190, Peoples R China
Corresponding Author AffilicationChinese Acad Sci, Inst Automat, Res Ctr Precis Sensing & Control, Beijing 100190, Peoples R China
Recommended Citation
GB/T 7714
Li, Wanyi,Wang, Peng,Qiao, Hong. Top–down visual attention integrated particle filter for robust object tracking[J]. Signal Processing: Image Communication,2016,43(无):28-41.
APA Li, Wanyi,Wang, Peng,&Qiao, Hong.(2016).Top–down visual attention integrated particle filter for robust object tracking.Signal Processing: Image Communication,43(无),28-41.
MLA Li, Wanyi,et al."Top–down visual attention integrated particle filter for robust object tracking".Signal Processing: Image Communication 43.无(2016):28-41.
Files in This Item: Download All
File Name/Size DocType Version Access License
SPIC2016_Top–down vi(9813KB)期刊论文作者接受稿开放获取CC BY-NC-SAView Download
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Li, Wanyi]'s Articles
[Wang, Peng]'s Articles
[Qiao, Hong]'s Articles
Baidu academic
Similar articles in Baidu academic
[Li, Wanyi]'s Articles
[Wang, Peng]'s Articles
[Qiao, Hong]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Li, Wanyi]'s Articles
[Wang, Peng]'s Articles
[Qiao, Hong]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: SPIC2016_Top–down visual attention integrated particle filter for robust object tracking.pdf
Format: Adobe PDF
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.