DeepReID: Deep Filter Pairing Neural Network for Person Re-Identification
Refereed conference paper presented and published in conference proceedings


香港中文大学研究人员 ( 现职)

王晓刚教授 (电子工程学系)

全文

数位物件识别号 (DOI) http://dx.doi.org/10.1109/CVPR.2014.27

引用次数
Web of Sciencehttp://aims.cuhk.edu.hk/converis/portal/Publication/61WOS source URL

其它资讯

摘要Person re-identification is to match pedestrian images from disjoint camera views detected by pedestrian detectors. Challenges are presented in the form of complex variations of lightings, poses, viewpoints, blurring effects, image resolutions, camera settings, occlusions and background clutter across camera views. In addition, misalignment introduced by the pedestrian detector will affect most existing person re-identification methods that use manually cropped pedestrian images and assume perfect detection.

着者Li W, Zhao R, Xiao T, Wang XG
会议名称27th IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
会议开始日23.06.2014
会议完结日28.06.2014
会议地点Columbus
会议国家美国
出版年份2014
月份1
日期1
出版社IEEE
页次152 - 159
电子国际标準书号978-1-4799-5117-8
国际标準期刊号1063-6919
语言英式英语

Web of Science 学科类别Computer Science; Computer Science, Artificial Intelligence