Person re-identification by bidirectional projection
Yuan, Yuan; Li, Xuelong; Lu, Xiaoqiang; Liu, Lina
2014
会议名称6th international conference on internet multimedia computing and service, icimcs 2014
会议日期2014-07-10
会议地点xiamen, china
页码1-5
中文摘要person re-identification plays an important role in video surveillance system. it can be regarded as an image retrieval process which aims to find the same person in multi-camera networks. many existing methods learn a pairwise similarity measure by mapping the raw feature to a latent subspace to make the data more discriminative. however, most of these methods project all the data into the same subspace ignoring the different characteristics that the same person and different person hold. to solve the aforementioned problem, a pairwise based method is proposed by projecting the raw feature onto two discriminative subspaces according to whether a image pair is of the same class. the proposed method constructs a relative and pairwise model by using the logistic loss function to give a soft measure of the pairwise loss. meanwhile, a trace norm regularization is used to create the convexity of the objective function, which also help to limit the dimension of the subspaces. experiments carried on the benchmark dataset viper show that the proposed model obtains better results compared with state-of-the-art methods. copyright 2014 acm.
收录类别EI
合作状况国内
产权排序1
会议主办者national natural foundation of china; sigmm china chapter; xiamen university
会议录icimcs 2014 - proceedings of the 6th international conference on internet multimedia computing and service
会议录出版者association for computing machinery
语种英语
内容类型会议论文
源URL[http://ir.opt.ac.cn/handle/181661/22637]  
专题西安光学精密机械研究所_光学影像学习与分析中心
推荐引用方式
GB/T 7714
Yuan, Yuan,Li, Xuelong,Lu, Xiaoqiang,et al. Person re-identification by bidirectional projection[C]. 见:6th international conference on internet multimedia computing and service, icimcs 2014. xiamen, china. 2014-07-10.
个性服务
查看访问统计
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。


©版权所有 ©2017 CSpace - Powered by CSpace