参考文献(References)：
[1] 谢志华，刘国栋.基于局部二元模式的快速红外人脸识别系统[J].红外与激光工程，2013,42(12):3190-3195.
[2] 杜梅，曹蔚然.基于压缩感知的红外人脸识别[J].软件工程，2019,22(1):16-18.
[3] TURK M,PENTLAND A.Eigenfaces for recognition[J].Journal of Cognitive Neuroscience,1991,3(1):71-86.
[4] BELHUMEUR P N,HESPANHA J P,KRIEGMAN D J.Eigenfaces vs.Fisherfaces:recognition using class specific linear projection[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,1997,19(7):711-720.
[5] LAWRENCE S,GILES C L,TSOI A C,et al.Face recognition:aconvolutional neural network approach[J].IEEE Transactions on Neural Networks,1997,8(1):98-113.
[6] GUO G D,LI S Z,CHAN K.Face recognition by support vector machines[C]//Proceedings Fourth IEEE International Conference on Automatic Face and Gesture Recognition,March 28-30,2000,Grenoble,France.New York:IEEE,2000:196-201.
[7] CHEN D,CAO X D,WANG L W,et al.Bayesian face revisited:a joint formulation[C]//Proceedings of the 12th European Conference on Computer Vision,October 7-13,2012,Florence,Italy.Berlin:Springer,2012:566-579.
[8] TAIGMAN Y,YANG M,RANZATO M A,et al.DeepFace:closing the gap to human-level performance in face verification[C]//2014 IEEE Conference on Computer Vision and Pattern Recognition,June 20-23,2014,Columbus,USA.New York:IEEE,2014:1701-1708.
[9] SUN Y,WANG X G,TANG X O.Deep learning face representation from predicting 10,000 classes[C]//2014 IEEE Conference on Computer Vision and Pattern Recognition,June 20-23,2014,Columbus,USA.New York:IEEE,2014:1891-1898.
[10] SUN Y,WANG X G,TANG X O.Deeply learned face representations are sparse,selective,and robust[C]//2015 IEEE Conference on Computer Vision and Pattern Recognition(CVPR),June 7-12,2015,Boston,USA.New York:IEEE,2015:2892-2900.
[11] SCHROFF F,KALENICHENKO D,PHILBIN J.FaceNet:a unified embedding for face recognition and clustering[C]//2015 IEEE Conference on Computer Vision and Pattern Recognition,June 7-12,2015,Boston,USA.New York:IEEE,2015:815-823.
[12] LEE L,GRIMSON W E L.Gait analysis for recognition and classification[C]//Proceedings of Fifth IEEE International Conference on Automatic Face Gesture Recognition,May 20-21,2002,Washington,USA.New York:IEEE,2002:155-162.
[13] LóPEZ-FERNáNDEZ D,MADRID-CUEVASF J,CARMONA-POYATO A,et al.A new approach for multi-view gait recognition on unconstrained paths[J].Journal of Visual Communication and Image Representation,2016,38:396-406.
[14] HAN J,BHANU B.Individual recognition using gait energy image[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2006,28(2):316-322.
[15] GOFFREDO M,BOUCHRIKA I,CARTER J N,et al.Self-calibrating view-invariant gait biometrics[J].IEEE Transactions on Systems,Man,and Cybernetics:Part B:Cybernetics,2009,40(4):997-1008.
[16] LIU N N,TAN Y P.View invariant gait recognition[C]//2010 IEEE International Conference on Acoustics,Speech and Signal Processing,March 14-19,2010,Dallas,USA.New York:IEEE,2010:1410-1413.
[17] YAN C,ZHANG B L,COENEN F.Multi-attributes gait identification by convolutional neural networks[C]//2015 8th International Congress on Image and Signal Processing,October 14-16,2015,Shenyang,China.New York:IEEE,2015:642-647.
[18] K?ESTINGER M,HIRZER M,WOHLHART P,et al.Large scale metric learning from equivalence constraints[C]//2012 IEEE Conference on Computer Vision and Pattern Recognition,June 18-20,2012,Providence,USA.New York:IEEE,2012:2288-2295.
[19] SHEN Y,LIN W Y,YAN J C,et al.Person re-identification with correspondence structure learning[C]//2015 IEEE International Conference on Computer Vision,December 7-13,2015,Santiago,Chile.New York:IEEE,2015:3200-3208.
[20] DAS A,CHAKRABORTY A,ROY-CHOWDHURY A K.Consistent re-identification in a camera network[C]// Proceedings of the 13th European Conference on Computer Vision,September 6-12,2014,Zurich,Switzerland.Cham:Springer,2014:330-345.
[21] LI W,ZHAN R,XIAO T,et al.DeepReID:deep filter pairing neural network for person re-identification[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition,June 20-23,2014,Columbus,USA.New York:IEEE,2014:152-159.
[22] YI D,LEI Z,LIAO S C,et al.Deep metric learning for person re-identification[C]//2014 22nd International Conference on Pattern Recognition,August 24-28,2014,Stockholm,Sweden.New York:IEEE,2014:34-39.
[23] WEINBERGER K Q,SAUL K L.Distance metric learning for large margin nearest neighbor classification[J].The Journal of Machine Learning Research,2009,10(1):207-244.
[24] ZHENG W Z,GONG S G,XIANG T.Person re-identification by probabilistic relative distance comparison[C]//IEEE Conference on Computer Vision and Pattern Recognition,June 21-23,2011,Colorado Springs,USA.New York:IEEE,2011:649-656.
[25] PEDAGADI S,ORWELL J,VELASTIN S,et al.Local fisher discriminant analysis for pedestrian re-identification[C]//IEEE Conference on Computer Vision and Pattern Recognition,June 23-28,2013,Portland,USA.New York:IEEE,2013:3318-3325.
[26] LIAO S C,HU Y,ZHU X Y,et al.Person re-identification by local maximal occurrence representation and metric learning[C]//2015 IEEE Conference on Computer Vision and Pattern Recognition,June 7-12,2015,Boston,USA.New York:IEEE,2015:2197-2206.
[27] REDMON J,DIVVALA S,GIRSHICK R,et al.You Only Look Once:unified,real-time object detection[C]//2016 IEEE Conference on Computer Vision and Pattern Recognition,June 26-July 1,2016,Las Vegas,USA.New York:IEEE,2016:779-788.
[28] HE K M,ZHANG X Y,REN S Q,et al.Deep residual learning for image recognition[C]//2016 IEEE Conference on Computer Vision and Pattern Recognition,June 26-July 1,2016,Las Vegas,USA.New York:IEEE,2016:770-778.
[29] HENRIQUES J F,CASEIRO R,MARTINS P,et al.High-speed tracking with kernelized correlation filters[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2015,37(3):583-596.
[30] 任荣.非重叠域多摄像机目标检测与跟踪算法研究[D].徐州：中国矿业大学，2016.
[31] 董文会.多摄像机监控网络中的目标连续跟踪方法研究[D].济南：山东大学，2015.
[32] 陈文曲.基于外观特征和时空关联的无重叠视域目标跟踪技术研究[D].南京：南京邮电大学，2013.
[33] 郑娇.基于时空转移模型的监控目标交接算法研究[D].天津：中国民航大学，2016.
