[1] Nanda H, Davis L. Probabilistic Template Based Pedestrian Detection in Infrared Videos[C]//Proc. of IEEE Intelligent Vehicle Symposium. Paris, France: [s. n.], 2002: 15-20. [2] 郭永彩, 胡瑞光, 高 潮. 红外图像中的行人检测[J]. 重庆大学学报, 2009, 32(9): 1070-1073. [3] Ran Yang, Zheng Qinfen, Weiss I, et al. Pedestrian Classification from Moving Platform Using Cyclic Motion Pattern[C]//Proc. of IEEE International Conference on Image Processing. Genoa, Italy: [s. n.], 2005: 854-857. [4] Chen Yan, Wu Qiang, He Xiangjan. Motion Based Pedestrian Recognition[C]//Proc. of IEEE Congress on Image and Signal Processing. Sanya, China: [s. n.], 2008: 376-380. [5] Philomin V, Duraiswami R, Davis L. Pedestrian Tracking from a Moving Vehicle[C]//Proc. of IEEE Intelligent Vehicles Symposium. Dearborn, USA: [s. n.], 2000: 350-355. [6] 胡春华, 钱 堃. 基于角度泛化的SC模型匹配的行人检测[J]. 计算机工程, 2010, 36(19): 171-173. [7] Bertozzi M, Broggi A, Chapuis R. Shape-based Pedestrian Detection and Localization[C]//Proc. of IEEE Intelligent Vehicles Symposium. Ohio, USA: [s. n.], 2003: 410-415. [8] Assheton A, Hunter A. A Shape-based Voting Algorithm for Pedestrian Detection and Tracking[J]. Pattern Recognition, 2010, 44(5): 1106-1120. [9] Dalal N, Triggs B. Histograms of Oriented Gradients for Human Detection[C]//Proc. of IEEE Conference on Computer Vision and Pattern Recognition. San Diego, USA: [s. n.], 2005: 886-893. [10] 曲永宇, 刘 清, 郭建明, 等. 基于HOG和颜色特征的行人检测[J]. 武汉理工大学学报, 2011, 33(4): 134-138. [11] Viola P, Jones M, Snow D. Detecting Pedestrians Using Pattern of Motion and Appearance[C]//Proc. of IEEE International Conference on Computer Vision. Nice, France: [s. n.], 2003: 734-741. [12] 曾 春, 李晓华, 周激流. 基于感兴趣区梯度方向直方图的行人检测[J]. 计算机工程, 2009, 35(24): 182-184. [13] Collado J M, Hilario C, de la Escalera A, et al. Model based Vehicle Detection for Intelligent Vehicles[C]//Proc. of IEEE Intelligent Vehicle Symposium. Parma, Italy: [s. n.], 2004: 572-577.
|