[1] MIKLASZ M,OLSZEWSKI P,NOWOSIELSKI A,et al.Pedestrian traffic distribution analysis using face recognition technology[C]//Proceedings of International Conference on Transport Systems Telematics.Berlin,Germany:Springer,2013:303-312. [2] HU Ruimin.Big data smart city and smart security——pedestrian re-identification[J].Intelligent Building,2014,17(5):44-47.(in Chinese)胡瑞敏.大数据智慧城市与智能安防——行人重识别[J].智能建筑,2014,17(5):44-47. [3] TAKE N,KOSUGI Y,MUSHA T.Estimation of bidirectional information flow in the human brain from evoked potentials by use of dipole tracing method[C]//Proceedings of International Conference of the IEEE Engineering in Medicine & Biology Society.Washington D.C.,USA:IEEE Press,2001:627-630. [4] BAZZANI L,CRISTANI M,PERINA A,et al.Multiple-shot person re-identification by chromatic and epitomic analyses[J].Pattern Recognition Letters,2012,33(7):898-903. [5] CHENG D S,CRISTANI M,STOPPA M,et al.Custom pictorial structures for re-identification[C]//Proceedings of British Machine Vision Conference.Surrey,UK:British Machine Vision Association,2011:1-11. [6] FU Hongpu,JU Beiji.Histogram of oriented gradient and its extension[J].Computer Engineering,2013,39(5):212-217.(in Chinese)傅红普,邹北骥.方向梯度直方图及其扩展[J].计算机工程,2013,39(5):212-217. [7] FARENZENA M,BAZZANI L,PERINA A,et al.Person re-identification by symmetry-driven accumulation of local features[C]//Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.Washington D.C.,USA:IEEE Press,2010:2360-2367. [8] DANACI E G,IKIZLER-CINBIS N.Low-level features for visual attribute recognition:an evaluation[J].Pattern Recognition Letters,2016,84:185-191. [9] GAO Mu,AI Haizhou,BAI Bo.A feature fusion strategy for person re-identification[C]//Proceedings of IEEE International Conference on Image Processing.Washington D.C.,USA:IEEE Press,2016:4274-4278. [10] LAYNE R,HOSPEDALES T M,GONG S,et al.Person re-identification by attributes[C]//Proceedings of British Machine Vision Conference.Surrey,UK:British Machine Vision Association,2012:1-11. [11] SU Chi,YANG Fan,ZHANG Shiliang,et al.Multi-task learning with low rank attribute embedding for person re-identification[C]//Proceedings of IEEE International Conference on Computer Vision.Washington D.C.,USA:IEEE Press,2015:3739-3747. [12] NGUYEN T P,MANZANERA A,KROPATSCH W G,et al.Impact of topology-related attributes from local binary patterns on texture classification[C]//Proceedings of European Conference on Computer Vision.Berlin,Germany:Springer,2014:80-93. [13] MIN Qiusha,LIU Neng,CHEN Yating,et al.Head pose estimation based on facial feature point localization[J].Computer Engineering,2018,44(6):263-269.(in Chinese)闵秋莎,刘能,陈雅婷,等.基于面部特征点定位的头部姿态估计[J].计算机工程,2018,44(6):263-269. [14] SAQUIB S M,SCHUMANN A,EBERLE A,et al.A pose-sensitive embedding for person re-identification with expanded cross neighborhood re-ranking[C]//Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.Washington D.C.,USA:IEEE Press,2018:420-429. [15] TOSHEV A,SZEGEDY C.Deeppose:human pose estimation via deep neural networks[C]//Proceedings of 2013 IEEE Conference on Computer Vision and Pattern Recognition.Washington D.C.,USA:IEEE Press,2013:1653-1660. [16] CHENG Keyang,XU Fangjie,TAO Fei,et al.Data-driven pedestrian re-identification based on hierarchical semantic representation[EB/OL].[2019-02-28].https://onlinelibrary.wiley.xilesou.top/doi/abs/10.1002/cpe.4403. [17] LI Dangwei,ZHANG Zhang,CHEN Xiaotang,et al.A richly annotated dataset for pedestrian attribute recognition[EB/OL].[2019-02-28].https://arxiv.xilesou.top/abs/1603.07054. [18] GRAY D,TAO H.Viewpoint invariant pedestrian recognition with an ensemble of localized features[C]//Proceedings of European Conference on Computer Vision.Berlin,Germany:Springer,2008:262-275. [19] PISHCHULIN L,INSAFUTDINOV E,TANG S Y,et al.DeepCut:joint subset partition and labeling for multi person pose estimation[C]//Proceedings of 2016 IEEE Conference on Computer Vision and Pattern Recognition.Washington D.C.,USA:IEEE Press,2016:4929-4937. [20] ZHAO Rui,OUYANG Wanli,WANG Xiaogang.Unsupervised salience learning for person re-identification[C]//Proceedings of 2013 IEEE Conference on Computer Vision and Pattern Recognition.Washington D.C.,USA:IEEE Press,2013:3586-3593. [21] UMEDA T,SUN Y Q,IRIE G,et al.Attribute discovery for person re-identification[M]//UMEDA T,SUN Y Q,IRIE G,et al.Multi media modeling.Berlin,Germany:Springer,2016:268-276. [22] FARENZENA M,BAZZANI L,PERINA A,et al.Person re-identification by symmetry-driven accumulation of local features[C]//Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.Washington D.C.,USA:IEEE Press,2010:2360-2367. [23] ROTH P M,HIRZER M,KÖSTINGER M,et al.Mahalanobis distance learning for person re-identification[M]//GONG S,CRISTANI M,YAN S,et al.Person re-identification.Berlin,Germany:Springer,2014:247-267. [24] ZHENG Liang,HUANG Yujia,LU Huchuan,et al.Pose-invariant embedding for deep person re-identification[J].IEEE Transactions on Image Processing,2019,28(9):4500-4509. |