SIA OpenIR  > 机器人学研究室
Object Tracking via Online Metric Learning
Cong Y(丛杨); Yuan JS(袁浚菘); Tang YD(唐延东)
Department机器人学研究室
Conference Name2012 IEEE International Conference on Image Processing
Conference DateSeptember 30 - October 3, 2012
Conference PlaceOrland, Florida, USA
Author of SourceIEEE Signal Processing Society
Source PublicationProceedings of the 2012 IEEE International Conference on Image Processing
PublisherIEEE
Publication PlaceNew York, USA
2012
Pages417-420
Indexed ByEI ; CPCI(ISTP)
EI Accession number20131116112322
WOS IDWOS:000319334900100
Contribution Rank1
ISBN978-1-4673-2533-2
KeywordTracking Metric Learning Semi-supervised Learning Online Learning
AbstractBy considering visual tracking as a similarity matching problem, we propose a self-supervised tracking method that incorporates adaptive metric learning and semi-supervised learning into the framework of object tracking. For object representation, the spatial-pyramid structure is applied by fusing both the shape and texture cues as descriptors. A metric learner is adaptively trained online to best distinguish the foreground object and background, and a new bi-linear graph is defined accordingly to propagate the label of each sample. Then high-confident samples are collected to self-update the model to handle large-scale issue. Experiments on the benchmark dataset and comparisons with the state-of-the-art methods validate the advantages of our algorithm.
Language英语
Citation statistics
Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/10212
Collection机器人学研究室
Corresponding AuthorCong Y(丛杨)
Affiliation1.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Science, China
2.Nanyang Technological University, Singapore, Singapore
Recommended Citation
GB/T 7714
Cong Y,Yuan JS,Tang YD. Object Tracking via Online Metric Learning[C]//IEEE Signal Processing Society. New York, USA:IEEE,2012:417-420.
Files in This Item: Download All
File Name/Size DocType Version Access License
Object Tracking via (569KB)会议论文 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
[Cong Y(丛杨)]'s Articles
[Yuan JS(袁浚菘)]'s Articles
[Tang YD(唐延东)]'s Articles
Baidu academic
Similar articles in Baidu academic
[Cong Y(丛杨)]'s Articles
[Yuan JS(袁浚菘)]'s Articles
[Tang YD(唐延东)]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Cong Y(丛杨)]'s Articles
[Yuan JS(袁浚菘)]'s Articles
[Tang YD(唐延东)]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: Object Tracking via Online Metric Learning.pdf
Format: Adobe PDF
All comments (0)
No comment.
 

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