A Novel Background Subtraction Method for Moving Vehicle Detection
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Lin Teng | Xiaofeng Lu | Takashi Izumi | Tadahiro Horie | Lei Wang | Lei Wang | Lin Teng | Xiaofeng Lu | T. Izumi | Tadahiro Horie
[1] Nigel J. B. McFarlane,et al. Segmentation and tracking of piglets in images , 1995, Machine Vision and Applications.
[2] Hong Huo,et al. Traffic Video Segmentation Using Adaptive-K Gaussian Mixture Model , 2006, IWICPAS.
[3] Wei Zhang,et al. Moving vehicles segmentation based on Bayesian framework for Gaussian motion model , 2006, Pattern Recognit. Lett..
[4] Qi Tian,et al. Statistical modeling of complex backgrounds for foreground object detection , 2004, IEEE Transactions on Image Processing.
[5] Chris T. Kiranoudis,et al. A background subtraction algorithm for detecting and tracking vehicles , 2011, Expert Syst. Appl..
[6] Hongxun zhang,et al. Fusing Color and Texture Features for Background Model , 2006, FSKD.
[7] Thierry Bouwmans,et al. Fuzzy statistical modeling of dynamic backgrounds for moving object detection in infrared videos , 2009, 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops.
[8] Yasuo Narukawa,et al. Decision Modelling Using the Choquet Integral , 2004, MDAI.
[9] Alex Pentland,et al. Pfinder: Real-Time Tracking of the Human Body , 1997, IEEE Trans. Pattern Anal. Mach. Intell..
[10] Osama Masoud,et al. Detection and classification of vehicles , 2002, IEEE Trans. Intell. Transp. Syst..
[11] L. Davis,et al. Background and foreground modeling using nonparametric kernel density estimation for visual surveillance , 2002, Proc. IEEE.
[12] W. Eric L. Grimson,et al. Using adaptive tracking to classify and monitor activities in a site , 1998, Proceedings. 1998 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No.98CB36231).
[13] Chi Hau Chen,et al. Moving Objects Detection and Segmentation In Dynamic Video Backgrounds , 2007, 2007 IEEE Conference on Technologies for Homeland Security.
[14] Huamin Yang,et al. A fuzzy background model for moving object detection , 2009, 2009 11th IEEE International Conference on Computer-Aided Design and Computer Graphics.
[15] Thierry Bouwmans,et al. A fuzzy approach for background subtraction , 2008, 2008 15th IEEE International Conference on Image Processing.
[16] Stan Sclaroff,et al. Segmenting foreground objects from a dynamic textured background via a robust Kalman filter , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.
[17] W. Eric L. Grimson,et al. Adaptive background mixture models for real-time tracking , 1999, Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149).
[18] Matti Pietikäinen,et al. Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns , 2002, IEEE Trans. Pattern Anal. Mach. Intell..