CASIA OpenIR  > 模式识别国家重点实验室  > 图像与视频分析
Learning Coarse-to-fine Structured Feature Embedding for Vehicle Re-identification
Guo Haiyun1,2; Zhao Chaoyang1,2; Liu Zhiwei1,2; Wang Jinqiao1,2; Lu Hanqing1,2
2018
Conference NameAAAI Conference on Artificial Intelligence
Conference Date2018年2月2号-7号
Conference PlaceNew Orleans, Louisiana, USA
AbstractVehicle re-identification (re-ID) is to identify the same vehicle across different cameras. It’s a significant but challenging topic, which has received little attention due to the complex intra-class and inter-class variation of vehicle images and the lack of large-scale vehicle re-ID dataset. Previous methods focus on pulling images from different vehicles apart but neglect the discrimination between vehicles from different vehicle models, which is actually quite important to obtain a correct ranking order for vehicle re-ID. In this paper, we learn a structured feature embedding for vehicle re-ID with a novel coarse-to-fine ranking loss to pull images of the same vehicle as close as possible and achieve discrimination between images from different vehicles as well as vehicles from different vehicle models. In the learnt feature space, both intra-class compactness and inter-class distinction are well guaranteed and the Euclidean distance between features directly reflects the semantic similarity of vehicle images. Furthermore, we build so far the largest vehicle re-ID dataset “Vehicle-1M”1 which involves nearly 1 million images captured in various surveillance scenarios. Experimental results on “Vehicle-1M”and “VehicleID” demonstrate the superiority of our proposed approach.
Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/20902
Collection模式识别国家重点实验室_图像与视频分析
Corresponding AuthorZhao Chaoyang
Affiliation1.Univ Chinese Acad Sci, Beijing 100190, Peoples R China
2.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
Recommended Citation
GB/T 7714
Guo Haiyun,Zhao Chaoyang,Liu Zhiwei,et al. Learning Coarse-to-fine Structured Feature Embedding for Vehicle Re-identification[C],2018.
Files in This Item: Download All
File Name/Size DocType Version Access License
Learning coarse-to-f(496KB)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
[Guo Haiyun]'s Articles
[Zhao Chaoyang]'s Articles
[Liu Zhiwei]'s Articles
Baidu academic
Similar articles in Baidu academic
[Guo Haiyun]'s Articles
[Zhao Chaoyang]'s Articles
[Liu Zhiwei]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Guo Haiyun]'s Articles
[Zhao Chaoyang]'s Articles
[Liu Zhiwei]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: Learning coarse-to-fine structured feature embedding for vehicle re-identification.pdf
Format: Adobe PDF
All comments (0)
No comment.
 

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