[3] [3] Ren S, Girshick R, Girshick R, et al. Faster R-CNN: towards real-time object detection with region proposal networks［J］. IEEE Transactions on Pattern Analysis & Machine Intelligence,2017,39(6):1137—1149.

[5] [5] Redmon J, Farhadi A. YOLOv3: an incremental improvement［C］∥IEEE Conference on Computer Vision and Patttern Recognition, Salt Lake City, Utah, USA:IEEE,2018,arXiv:1804.02767.

[6] [6] Zhang X, Zhou X, Lin M, et al. ShuffleNet: an extremely efficient convolutional neural network for mobile devices［C］∥ Computer Vision and Pattern Recognition, Salt Lake City,Utah,USA:IEEE,2018:6848—6856.

[7] [7] A Womg, M J Shafiee, F Li, et al. Tiny SSD: a tiny single-shot detection deep convolutional neural network for real-time embedded object detection ［C］∥ 2018 15th Conference on Computer and Robot Vision (CRV),Toronto,Canada,IEEE,USA,2018:95—101.

[8] [8] O. Déniz, Bueno G , Salido J , et al. Face recognition using histograms of oriented gradients［J］. Pattern Recognition Letter,2011,32(12):1598—1603.

[10] [10] Gan G, Cheng J. Pedestrian detection based on HOG-LBP feature ［C］∥Seventh International Conference on Computational Intelligence and Security, Sanya, Hainan, China: IEEE, USA,2011:1184—1187.

[13] [13] Ren S, Girshick R, et al. Faster R-CNN:towards real-time object detecion with reqion proposal networks［J］. IEEE Transactions on pattern Analysis & Machine Intelligence,2017,39(6):1137—1149.

[14] [14] Cheng Y, Wang D, Zhou P, et al. Model compression and acceleration for deep neural networks:the principles,progress,and challenges［J］.IEEE Signal Processing Magazine,2018,35(1):126—136.

[15] [15] Hinton G, Vinyals O, Dean J. Distilling the knowledge in a neural network［J］. Computer Ence,2015,14(7):38—39.

[16] [16] Price R, Iso K I, Shinoda K. Wise teachers train better DNN acoustic models［J］. EURASIP Journal on Audio, Speech, and Music Processing,2016,2016(1):10.

[17] [17] Kim S, Lee J, Ko B, et al. X-ray image classification using random forests with local binary patterns［C］∥ International Conference on Machine Learning and Cybernetics,Qingdao,China,IEEE,USA,2010:3190—3194.

[18] [18] Dalai N. Inria person database［EB/OL］.［2015-12-20］. http:∥pascal.inscal.inrialpes.fr/data/human

[19] [19] Wojek C, Dollar P, Schiele B, et al. Pedestrian detection: an evaluation of the state of the art［J］. IEEE Transactions on Pattern Analysis and Machine Intelligence,2012,34(4):743—761.

[20] [20] Kitani, Kris M, Lee, et al. Synthesizing a scene-specific pedestrian detector and pose estimator for static video surveillance［J］. International Journal of Computer Vision,2018,126(9):1027—1044.

[21] [21] Zhou J, Zheng H, Yin H, et al. Object detection from images based on MFF-RPN and Multi-scale CNN ［C］∥ In Proceedings of 2017 Chinese Intelligent Systems Conference, Singapore, Springer, Germany,2018,460:343—351.

[22] [22] Zhu X, Wang Y, Dai J, et al. Flow-Guided feature aggregation for video object detection［C］∥ International Conference on Computer Vision, Venice,Italy,IEEE,USA,2017:408—417.