Vision-based traffic surveys in urban environments
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[1] Larry S. Davis,et al. A Robust Background Subtraction and Shadow Detection , 1999 .
[2] Dar-Shyang Lee,et al. Effective Gaussian mixture learning for video background subtraction , 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[3] Cecilia Laschi,et al. Self-adaptive Gaussian mixture models for real-time video segmentation and background subtraction , 2010, 2010 10th International Conference on Intelligent Systems Design and Applications.
[4] Zezhi Chen,et al. Multi-shape Descriptor Vehicle Classification for Urban Traffic , 2011, 2011 International Conference on Digital Image Computing: Techniques and Applications.
[5] S. M. Mahbubur Rahman,et al. Detection and Classification of Vehicles From Video Using Multiple Time-Spatial Images , 2012, IEEE Transactions on Intelligent Transportation Systems.
[6] Nicolas Martel-Brisson,et al. Learning and Removing Cast Shadows through a Multidistribution Approach , 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[7] Tieniu Tan,et al. Model-Based Localisation and Recognition of Road Vehicles , 1998, International Journal of Computer Vision.
[8] Oihana Otaegui,et al. Adaptive Multicue Background Subtraction for Robust Vehicle Counting and Classification , 2012, IEEE Transactions on Intelligent Transportation Systems.
[9] Ferdinand van der Heijden,et al. Recursive unsupervised learning of finite mixture models , 2004, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[10] Zezhi Chen,et al. Self-adaptive Gaussian mixture model for urban traffic monitoring system , 2011, 2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops).
[11] Klamer Schutte,et al. Global Intensity Correction in Dynamic Scenes , 2009, International Journal of Computer Vision.
[12] David A. McAllester,et al. Object Detection with Discriminatively Trained Part Based Models , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[13] Sergio A. Velastin,et al. 3D Extended Histogram of Oriented Gradients (3DHOG) for Classification of Road Users in Urban Scenes , 2009, BMVC.
[14] Guohui Zhang,et al. Video-Based Vehicle Detection and Classification System for Real-Time Traffic Data Collection Using Uncalibrated Video Cameras , 2007, Transportation Research Record: Journal of the Transportation Research Board.
[15] Hsi-Jian Lee,et al. A Spatial-Extended Background Model for Moving Blobs Extraction in Indoor Environments , 2009, J. Inf. Sci. Eng..
[16] Zezhi Chen,et al. Road vehicle classification using Support Vector Machines , 2009, 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems.
[17] Andrew Zisserman,et al. Image Classification using Random Forests and Ferns , 2007, 2007 IEEE 11th International Conference on Computer Vision.
[18] Mohan M. Trivedi,et al. Learning, Modeling, and Classification of Vehicle Track Patterns from Live Video , 2008, IEEE Transactions on Intelligent Transportation Systems.
[19] Stefano Messelodi,et al. A computer vision system for the detection and classification of vehicles at urban road intersections , 2005, Pattern Analysis and Applications.
[20] Rita Cucchiara,et al. Detecting Moving Objects, Ghosts, and Shadows in Video Streams , 2003, IEEE Trans. Pattern Anal. Mach. Intell..
[21] Sergio A. Velastin,et al. A Review of Computer Vision Techniques for the Analysis of Urban Traffic , 2011, IEEE Transactions on Intelligent Transportation Systems.
[22] 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).
[23] Sergio A. Velastin,et al. Urban road user detection and classification using 3D wire frame models , 2010 .
[24] Mohan M. Trivedi,et al. Detecting Moving Shadows: Algorithms and Evaluation , 2003, IEEE Trans. Pattern Anal. Mach. Intell..
[25] M. P. Sirisha,et al. Adaptive Vehicle Detector Approach for Complex Environments , 2013 .
[26] Dorin Comaniciu,et al. Mean Shift: A Robust Approach Toward Feature Space Analysis , 2002, IEEE Trans. Pattern Anal. Mach. Intell..
[27] P. Wayne Power,et al. Understanding Background Mixture Models for Foreground Segmentation , 2002 .
[28] Andrew Zisserman,et al. Representing shape with a spatial pyramid kernel , 2007, CIVR '07.
[29] Dimitrios Makris,et al. Time efficient ghost removal for motion detection in visual surveillance systems , 2008 .
[30] Yen-Wei Chen,et al. Image recognition by learned linear subspace of combined bag-of-features and low-level features , 2010, 2010 IEEE International Conference on Image Processing.
[31] Takeo Kanade,et al. Type classification, color estimation, and specific target detection of moving targets on public streets , 2005, Machine Vision and Applications.
[32] LeeDar-Shyang. Effective Gaussian Mixture Learning for Video Background Subtraction , 2005 .
[33] Zezhi Chen,et al. A self-adaptive Gaussian mixture model , 2014, Comput. Vis. Image Underst..
[34] Zezhi Chen,et al. Active Segmentation and Adaptive Tracking Using Level Sets , 2007, BMVC.
[35] Zezhi Chen,et al. Efficient annotation of video for vehicle type classification , 2013, 16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013).
[36] Badrinath Roysam,et al. Image change detection algorithms: a systematic survey , 2005, IEEE Transactions on Image Processing.
[37] J. L. Roux. An Introduction to the Kalman Filter , 2003 .
[38] Zezhi Chen,et al. Vehicle type categorization: A comparison of classification schemes , 2011, 2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC).
[39] Zezhi Chen,et al. Confidence based active learning for vehicle classification in urban traffic , 2012 .
[40] W. Eric L. Grimson,et al. Learning Patterns of Activity Using Real-Time Tracking , 2000, IEEE Trans. Pattern Anal. Mach. Intell..
[41] Ferdinand van der Heijden,et al. Efficient adaptive density estimation per image pixel for the task of background subtraction , 2006, Pattern Recognit. Lett..
[42] Zezhi Chen,et al. Vehicle detection, tracking and classification in urban traffic , 2012, 2012 15th International IEEE Conference on Intelligent Transportation Systems.
[43] Tieniu Tan,et al. Boosting local feature descriptors for automatic objects classification in traffic scene surveillance , 2008, 2008 19th International Conference on Pattern Recognition.
[44] W. Eric L. Grimson,et al. Edge-based rich representation for vehicle classification , 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.
[45] Thierry Bouwmans,et al. Background Modeling using Mixture of Gaussians for Foreground Detection - A Survey , 2008 .
[46] Luc Van Gool,et al. Efficient multi-camera vehicle detection, tracking, and identification in a tunnel surveillance application , 2012, Comput. Vis. Image Underst..