Pedestrian Detection Based on Blob Motion Statistics
暂无分享,去创建一个
[1] Hassan Foroosh,et al. Trajectory Rectification and Path Modeling for Video Surveillance , 2007, 2007 IEEE 11th International Conference on Computer Vision.
[2] Francesco G. B. De Natale,et al. Syntactic matching of pedestrian trajectories for behavioral analysis , 2008, 2008 IEEE 10th Workshop on Multimedia Signal Processing.
[3] Ashley Tews,et al. Real-Time Object Tracking and Classification Using a Static Came ra , 2009 .
[4] Katja Nummiaro. A Color-based Particle Filter , 2002 .
[5] Ignacio Parra,et al. Combination of Feature Extraction Methods for SVM Pedestrian Detection , 2007, IEEE Transactions on Intelligent Transportation Systems.
[6] Qi Tian,et al. Foreground object detection from videos containing complex background , 2003, MULTIMEDIA '03.
[7] Gary R. Bradski,et al. Learning OpenCV - computer vision with the OpenCV library: software that sees , 2008 .
[8] Luc Van Gool,et al. An adaptive color-based particle filter , 2003, Image Vis. Comput..
[9] Cheng Lu,et al. On the removal of shadows from images , 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[10] Jeffrey E. Boyd,et al. Synchronization of oscillations for machine perception of gaits , 2004, Comput. Vis. Image Underst..
[11] J. Little,et al. Recognizing People by Their Gait: The Shape of Motion , 1998 .
[12] Larry S. Davis,et al. A Pose-Invariant Descriptor for Human Detection and Segmentation , 2008, ECCV.
[13] Neil Genzlinger. A. and Q , 2006 .
[14] Bill Triggs,et al. Histograms of oriented gradients for human detection , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[15] Shigeo Abe DrEng. Pattern Classification , 2001, Springer London.
[16] Dimitris G. Manolakis,et al. Statistical and Adaptive Signal Processing , 2000 .
[17] S. Johnsen,et al. Real-Time Object Tracking and Classification Using a Static Camera , 2009 .
[18] Qi Tian,et al. Statistical modeling of complex backgrounds for foreground object detection , 2004, IEEE Transactions on Image Processing.
[19] Bernt Schiele,et al. New features and insights for pedestrian detection , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[20] Audra E. Kosh,et al. Linear Algebra and its Applications , 1992 .
[21] Sailes K. Sengijpta. Fundamentals of Statistical Signal Processing: Estimation Theory , 1995 .
[22] David Gerónimo Gómez,et al. Survey of Pedestrian Detection for Advanced Driver Assistance Systems , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[23] Dariu Gavrila,et al. Monocular Pedestrian Detection: Survey and Experiments , 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[24] Sergios Theodoridis,et al. Pattern Recognition , 1998, IEEE Trans. Neural Networks.
[25] Xiangjian He,et al. Motion Based Pedestrian Recognition , 2008, 2008 Congress on Image and Signal Processing.
[26] T. Gal,et al. Multicriteria Decision Making: Advances in MCDM Models, Algorithms, Theory, and Applications , 2012 .
[27] Larry S. Davis,et al. Pedestrian Detection via Periodic Motion Analysis , 2007, International Journal of Computer Vision.
[28] A. Willsky,et al. Signals and Systems , 2004 .
[29] Bernt Schiele,et al. Pedestrian detection in crowded scenes , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[30] Ram Nevatia,et al. Detection and Segmentation of Multiple, Partially Occluded Objects by Grouping, Merging, Assigning Part Detection Responses , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[31] Bertrand Vachon,et al. Statistical Background Modeling for Foreground Detection: A Survey , 2010 .
[32] Mubarak Shah,et al. Cyclic motion detection for motion based recognition , 1994, Pattern Recognit..
[33] Paul A. Viola,et al. Detecting Pedestrians Using Patterns of Motion and Appearance , 2005, International Journal of Computer Vision.
[34] Rafael C. González,et al. Local Determination of a Moving Contrast Edge , 1985, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[35] Sharath Pankanti,et al. Appearance models for occlusion handling , 2006, Image Vis. Comput..
[36] Jitendra Malik,et al. Recognizing action at a distance , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.
[37] Baihua Li,et al. Recognition of human periodic movements from unstructured information using a motion-based frequency domain approach , 2006, Image Vis. Comput..
[38] Barry G. Quinn,et al. The Estimation and Tracking of Frequency , 2001 .