【1】崔美玉. 论红外热像仪的应用领域及技术特点 [J].中国安防, 2014(12): 90-93. CUI Meiyu. Application field and technical characteristics of infrared thermal imager[J]. China Security & Protection, 2014(12): 90-93.

【2】范延军. 基于机器视觉的先进辅助驾驶系统关键技术研究 [D].南京:东南大学, 2016. FAN Yanjun. Research on Key Technologies of Advanced Assisted Driving System based on Machine Vision[D]. Nanjing: Southeast University, 2016.

【3】张科, 刘彦. 改进的基于背景预测的红外弱小目标检测方法 [J].火力与指挥控制, 2008, 33(11): 22-24. ZHANG Ke, LIU Yan. An improved small target detection method command control[J]. Fire Control & Command Control, 2008, 33(11): 22-24.

【4】杨阳, 杨静宇. 基于显著性分割的红外行人检测 [J]. 南京理工大学学报: 自然科学版, 2013, 37(2): 251-256. YANG Yang, YANG Jingyu. Infrared pedestrian detection based on saliency segmentation[J]. Journal of Nanjing University of Science and Technology, 2013, 37(2): 251-256.

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

【7】Christian Leistner, Amir Saffari. Horst bisch of miforests: multiple instance learning with randomized trees[C]//Proceedings of the 11th European Conference on Computer Vision: Part VI, ECCV, 2010: 29-42.

【8】Babenko B, YANG Minghsuan, Belongie S. Visual tracking with online multiple instance learning[C]//Computer Vision and Pattern Recognition, 2009: 983-990.

【9】David A Ross, LIM Jongwoo, LIN Rueisung, et al. Incremental learning for robust visual tracking[J]. International Journal of Computer Vision, 2008, 36(12): 125-141.

【10】WU B, NEVATIA R. Detection of multiple, partially occluded humans in a single image by Bayesian combination of edgelet part detectors[C]//Proceedings of the Tenth IEEE International Conference on Computer Vision, 2005: 90-97.

【11】WU Bo, Nevatia Ram. Detection and tracking of multiple, partially occluded humans by Bayesian combination of edgelet based part detectors[J]. International Journal of Computer Vision, 2007, 75(2): 247-266.

【12】WANGZ H, FANB, WU F C. Local intensity order pattern for feature description[C]//International Conference on Computer Vision, 2011: 6-13(DOI:10.1109/ICCV.2011.6126294).