[1] |
郭明玮, 赵宇宙, 项俊平, 等. 基于支持向量机的目标检测算法综述[J]. 控制与决策, 2014, 29(2): 193-200.Guo Mingwei, Zhao Yuzhou, Xiang Junping, et al. Review of object detection methods based on SVM[J]. Control and Decision, 2014, 29(2): 193-200.
|
[2] |
苏松志, 李绍滋, 陈淑媛, 等. 行人检测技术综述[J]. 电子学报, 2012, 40(4): 814-820.SuSongzhi, Li Shaozi, Chen Shuyuan, et al. A survey on pedestrian detection[J]. Acta Electronica Sinca, 2012, 40(4): 814-820.
|
[3] |
Viola P, Jones M J. Robust real-time object detection[J]. International Journal of Computer Vision, 2001, 4: 34-47.
|
[4] |
Neubeck A, Van Gool L. Efficient non-maximum suppression[C]// Proceedings of the 18th International Conference on Pattern Recognition. Hong Kong, China: IEEE Press, 2006, 3: 850-855.
|
[5] |
Wu J, Geyer C, Rehg J M. Real-time human detection using contour cues[C]// IEEE International Conference on Robotics and Automation. Shanghai,China: IEEE Press, 2011, 47(10): 860-867.
|
[6] |
Dalal N, Triggs B. Histograms of oriented gradients for human detection[C]// IEEE Computer Society Conference on Computer Vision and Pattern Recognition. San Diego,USA: IEEE Press, 2005, 1(12): 886-893.
|
[7] |
Dollár P, Tu Z, Perona P, et al. Integral channel features[C]// Proceedings of the British Machine Vision Conference. London,UK: BMVC Press,2009: 91(1-11).
|
[8] |
Enzweiler M, Gavrila D M. Monocular pedestrian detection: Survey and experiments[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2009, 31(12): 2179-2195.
|
[9] |
Felzenszwalb P F, Girshick R B, McAllester 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.
|
[10] |
Everingham M, Van Gool L, Williams C K I, et al. The pascal visual object classes(VOC) challenge[J]. International Journal of Computer Vision, 2010, 88(2): 303-338.
|
[11] |
Dollár P, Wojek C, Schiele B, et al. Pedestrian detection: A benchmark[C]// IEEE Conference on Computer Vision and Pattern Recognition. Miami,USA: IEEE Press, 2009: 304-311.)
|
[1] |
郭明玮, 赵宇宙, 项俊平, 等. 基于支持向量机的目标检测算法综述[J]. 控制与决策, 2014, 29(2): 193-200.Guo Mingwei, Zhao Yuzhou, Xiang Junping, et al. Review of object detection methods based on SVM[J]. Control and Decision, 2014, 29(2): 193-200.
|
[2] |
苏松志, 李绍滋, 陈淑媛, 等. 行人检测技术综述[J]. 电子学报, 2012, 40(4): 814-820.SuSongzhi, Li Shaozi, Chen Shuyuan, et al. A survey on pedestrian detection[J]. Acta Electronica Sinca, 2012, 40(4): 814-820.
|
[3] |
Viola P, Jones M J. Robust real-time object detection[J]. International Journal of Computer Vision, 2001, 4: 34-47.
|
[4] |
Neubeck A, Van Gool L. Efficient non-maximum suppression[C]// Proceedings of the 18th International Conference on Pattern Recognition. Hong Kong, China: IEEE Press, 2006, 3: 850-855.
|
[5] |
Wu J, Geyer C, Rehg J M. Real-time human detection using contour cues[C]// IEEE International Conference on Robotics and Automation. Shanghai,China: IEEE Press, 2011, 47(10): 860-867.
|
[6] |
Dalal N, Triggs B. Histograms of oriented gradients for human detection[C]// IEEE Computer Society Conference on Computer Vision and Pattern Recognition. San Diego,USA: IEEE Press, 2005, 1(12): 886-893.
|
[7] |
Dollár P, Tu Z, Perona P, et al. Integral channel features[C]// Proceedings of the British Machine Vision Conference. London,UK: BMVC Press,2009: 91(1-11).
|
[8] |
Enzweiler M, Gavrila D M. Monocular pedestrian detection: Survey and experiments[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2009, 31(12): 2179-2195.
|
[9] |
Felzenszwalb P F, Girshick R B, McAllester 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.
|
[10] |
Everingham M, Van Gool L, Williams C K I, et al. The pascal visual object classes(VOC) challenge[J]. International Journal of Computer Vision, 2010, 88(2): 303-338.
|
[11] |
Dollár P, Wojek C, Schiele B, et al. Pedestrian detection: A benchmark[C]// IEEE Conference on Computer Vision and Pattern Recognition. Miami,USA: IEEE Press, 2009: 304-311.)
|