[1]
[2] Xia Dong. Research on object detection, tracking and recognition in intelligence video surveillance[D]. Changsha: National University of Defense Technology, 2012: 1-2.(in Chinese) 夏东. 智能视频监控中目标检测、跟踪和识别方法研究[D]. 长沙:国防科学技术大学, 2012: 1-2.
[3]
[4]

Alexe Bogdan, Deselaers Thomas, Ferrari Vittorio. Measuring the objectness of image windows[J]. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 2012, 34(11): 2189-2202.
[5]
[6]

Wang Xiaoyu, Yang Ming, Zhu Shenghuo, et al. Regionlets for generic object detection[C]//Computer Vision (ICCV), 2013 IEEE International Conference on IEEE, 2013: 17-24.(in Chinese)
[7]
[8]

Cheng Mingming, Zhang Ziming, Lin Wenyan, et al. BING: binarized normed gradients for objectness estimation at 300fps [C]//Computer Vision and Pattern Recognition (CVPR), 2014 IEEE Conference on IEEE, 2014. (in Chinese)
[9]

Gall Juergen, Lempitsky Victor. Class-specific Hough Forests for Object Detection[M]// Decision Forests for Computer Vision and Medical Image Analysis. London, Springer: 2013: 143-157.
[10]
[11]
[12]

Gall Juergen, Yao Angela, Razavi Nima, et al. Hough forests for object detection, tracking, and action recognition[J]. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 2011, 33(11): 2188-2202.
[13] An Meng, Jiang Zhiguo, Zhao Danpei, et al. Space shape object feature training and detection and recognition method based on Hough forest[J]. Infrared and Laser Engineering,2011, 40(8): 1582-1588. (in Chinese) 安萌,姜志国,赵丹培,等. 基于Hough树林的空间有形目标特征训练与检测识别方法[J]. 红外与激光工程,2011, 40(8): 1582-1588.