CASIA OpenIR  > 类脑智能研究中心
Enhancing Person Re-identification by Robust Structural Metric Learning
Gang Yuan; Zhaoxiang Zhang; Yunhong Wang
2013-07-26
Conference NameInternational Conference on Image and Graphics
Source PublicationICIG 2013
Conference Date26-28 July 2013
Conference PlaceQingdao, China
AbstractPerson re-identification has become an important but also challenging task for video surveillance systems as it aims to match people across non-overlapping camera views. So far, most successful methods either focus on robust feature representation or sophisticated learners. Recently, metric learning has been applied in this task which aims to find a suitable feature subspace for matching samples from different cameras. However, most metric learning approaches rely on either pair wise or triplet-based distance comparison, which can be easily over-fitting in large scale and high dimension learning situation. Meanwhile, the performance of these methods can significantly decrease when the extracted features contain noisy information. In this paper, we propose a robust structural metric learning model for person re-identification with two main advantages: 1) it applies loss functions at the level of rankings rather than pair wise distances, 2) the proposed model is also robust to noisy information of the extracted features. The approach is verified on two available public datasets, and experimental results show that our method can get state-of-the-art performance.
KeywordRobust Person Re-identification Structural Metric Learning Input Sparsity
Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/13288
Collection类脑智能研究中心
Corresponding AuthorZhaoxiang Zhang
Recommended Citation
GB/T 7714
Gang Yuan,Zhaoxiang Zhang,Yunhong Wang. Enhancing Person Re-identification by Robust Structural Metric Learning[C],2013.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Gang Yuan]'s Articles
[Zhaoxiang Zhang]'s Articles
[Yunhong Wang]'s Articles
Baidu academic
Similar articles in Baidu academic
[Gang Yuan]'s Articles
[Zhaoxiang Zhang]'s Articles
[Yunhong Wang]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Gang Yuan]'s Articles
[Zhaoxiang Zhang]'s Articles
[Yunhong Wang]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

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