[1] [1] Cui Hao, Li Biao, Shen Zhenkang. Combining shape and texture features for infrared pedestrian detection[C]// Proceedings of the International Conference on multispectral image processing and pattern recognition, 2011: 1-7.

[2] [2] Sun H, Wang C, Wang B, et al. Pyramid binary pattern features for real-time pedestrian detection from infrared videos[J]. Neurocomputing, 2011, 74(5): 797-804.

[3] [3] Liu Qiong, Wang Guohua, Shen Minmin. Pedestrian detection with vehicle-mounted far-infrared monocular sensor based on edge segmentation[J]. Huanan Ligong Daxue Xuebao/Journal of South China University of Technology(Nature Science Edition), 2015, 43(1): 87-91, 98. (in Chinese)

[4] [4] Zheng J, Zhang W, Li B. Pedestrian detection based on background modeling and head-shoulder recognition[C]// International Conference on Wavelet Analysis and Pattern Recognition, 2012:227-232.

[5] [5] Dalal N, Triggs B. Histograms of oriented gradients for human detection[C]//Computer Vision and Pattern Recognition, 2005, IEEE Computer Society Conference on. IEEE, 2005, 1(12): 886-893.

[6] [6] Zhou Hongzhi, Liu Qi. A far infrared detection recognition description method based on improved gradient histogram [J]. Journal of Sichuan University(Natural Science Edition), 2016, 53(5): 1018-1026. (in Chinese)

[7] [7] Kim D S, Kim M, Kim B S, et al. Histograms of local intensity differences for pedestrian classification in far-infrared images[J]. Electronics Letters, 2013, 49(4): 258-260.

[8] [8] Olmeda D, Escalera A D L, Armingol J M. Far infrared pedestrian detection and tracking for night driving[J]. Robotica, 2011, 29(4): 495-505.

[9] [9] Xie Zhihua, Liu Guodong. Infrared face recognition based on co-occurrence histogram of multi-scale local binary patterns[J]. Infrared & Laser Engineering, 2015, 44(1): 391-397. (in Chinese)

[10] [10] Xia Qing, Hu Zhenqi, Wei Beilei, et al. New edge detection method for images of infrared thermal imager[J]. Infrared & Laser Engineering, 2014, 43(1): 318-322. (in Chinese)