[1] FELZENSZWALB P F, GIRSHICK R B, MCALLESTE D, et al. Object detection with discriminatively trained part-based models [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2010, 32(9):1627-1645. [2] GADESKI E, FARD H O, BORGNE H L. GPU deformable part model for object recognition[J]. Journal of Real-Time Image Processing, 2014:1-13. [3] DALAL N, TRIGG B. Histograms of oriented gradients for human detection[C]// Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Piscataway: IEEE, 2005, 1: 886-893. [4] CHEN Y, LI S, LIN X. Fast hog computation based on CUDA [C]// Proceedings of the 2011 IEEE International Conference on Computer Science and Automation Engineering. Piscataway: IEEE, 2011, 4: 748-751. [5] PEDERSOLI M, VEDALDI A, CONZALEZ J. A coarse-to-fine approach for fast deformable object detection[C]// Proceedings of the 2011 IEEE Conference on Computer Vision and Pattern Recognition. Piscataway: IEEE, 2011: 1353-1360. [6] HIRABAYASHI M, KATO S, EDAHIRO M, et al. GPU implementations of object detection using HOG features and deformable models[C]// Proceedings of the 2013 IEEE 1st International Conference on Cyber-Physical Systems, Networks, and Applications. Piscataway: IEEE, 2013: 106-111. [7] AMIT Y, KONG A. Graphical templates for model registration[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1996, 18(3): 225-236. [8] XIONG C, WANG W. Research on pedestrian detection based on DPM [J]. Electronic Design Engineering,2014(23):1-2.(熊聪,王文武. 基于DPM模型的行人检测技术的研究[J].电子设计工程, 2014(23):1-2.) [9] YIN X. Face detection method based on deformable part-based model[D].Xi'an:Xidian University, 2012: 17-32.(尹雪聪.基于可变形部件模型的人脸检测方法研究[D].西安:西安电子科技大学,2012: 17-32.) [10] MUNSHI A, GASTER B R, MATTSON T G, et al. OpenCL programming guide[M]. SHU J, LI H, YANG J, translated. Beijing: China Machine Press, 2013:110-130.(MUNSHI A, GASTER B R, MATTSON T G, et al. OpenCL编程指南[M]. 苏金国, 李璜, 杨健康, 译. 北京:机械工业出版社,2013:110-130.) [11] WILT N. CUDA handbook: a comprehensive guide to GPU Pr[M]. SHU T, MA P, LIU S, translated. Beijing: China Machine Press, 2014:148-159. |