Scene invariant multi camera crowd counting
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Sridha Sridharan | Clinton Fookes | Simon Denman | David Ryan | S. Denman | S. Sridharan | C. Fookes | D. Ryan
[1] Andrew Zisserman,et al. Learning To Count Objects in Images , 2010, NIPS.
[2] Simon Denman,et al. Improved detection and tracking of objects in surveillance video , 2009 .
[3] Antonio Albiol,et al. Statistical video analysis for crowds counting , 2009, 2009 16th IEEE International Conference on Image Processing (ICIP).
[4] Sridha Sridharan,et al. Improved Simultaneous Computation of Motion Detection and Optical Flow for Object Tracking , 2009, 2009 Digital Image Computing: Techniques and Applications.
[5] Sridha Sridharan,et al. Scene Invariant Crowd Counting and Crowd Occupancy Analysis , 2012, Video Analytics for Business Intelligence.
[6] Sridha Sridharan,et al. Crowd Counting Using Group Tracking and Local Features , 2010, 2010 7th IEEE International Conference on Advanced Video and Signal Based Surveillance.
[7] Hoai Bac Le,et al. GPU Implementation of Extended Gaussian Mixture Model for Background Subtraction , 2010, 2010 IEEE RIVF International Conference on Computing & Communication Technologies, Research, Innovation, and Vision for the Future (RIVF).
[8] Nuno Vasconcelos,et al. Analysis of Crowded Scenes using Holistic Properties , 2009 .
[9] Sridha Sridharan,et al. Scene Invariant Crowd Counting , 2011, 2011 International Conference on Digital Image Computing: Techniques and Applications.
[10] Alan Hanjalic,et al. Towards a Robust Solution to People Counting , 2006, 2006 International Conference on Image Processing.
[11] Mario Vento,et al. A Method for Counting Moving People in Video Surveillance Videos , 2010, EURASIP J. Adv. Signal Process..
[12] Vittorio Murino,et al. A real-time vision system for crowding monitoring , 1993, Proceedings of IECON '93 - 19th Annual Conference of IEEE Industrial Electronics.
[13] Osama Masoud,et al. Estimating pedestrian counts in groups , 2008, Comput. Vis. Image Underst..
[14] Nuno Vasconcelos,et al. Modeling, Clustering, and Segmenting Video with Mixtures of Dynamic Textures , 2008, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[15] Luciano da Fontoura Costa,et al. Estimating crowd density with Minkowski fractal dimension , 1999, 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258).
[16] Carl E. Rasmussen,et al. Gaussian processes for machine learning , 2005, Adaptive computation and machine learning.
[17] Sridha Sridharan,et al. An adaptive optical flow technique for person tracking systems , 2007, Pattern Recognit. Lett..
[18] Tom Drummond,et al. Faster and Better: A Machine Learning Approach to Corner Detection , 2008, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[19] Sheng-Fuu Lin,et al. Estimation of number of people in crowded scenes using perspective transformation , 2001, IEEE Trans. Syst. Man Cybern. Part A.
[20] Nuno Vasconcelos,et al. Privacy preserving crowd monitoring: Counting people without people models or tracking , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[21] W. Grimson,et al. Ground Plane Rectification by Tracking Moving Objects , 2003 .
[22] Hai Tao,et al. A Viewpoint Invariant Approach for Crowd Counting , 2006, 18th International Conference on Pattern Recognition (ICPR'06).
[23] H. M. Karara,et al. Direct Linear Transformation from Comparator Coordinates into Object Space Coordinates in Close-Range Photogrammetry , 2015 .
[24] L. Li,et al. On pixel count based crowd density estimation for visual surveillance , 2004, IEEE Conference on Cybernetics and Intelligent Systems, 2004..
[25] Nuno Vasconcelos,et al. Bayesian Poisson regression for crowd counting , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[26] Paulo R. S. Mendonça,et al. Bayesian autocalibration for surveillance , 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.
[27] Sergio A. Velastin,et al. Crowd monitoring using image processing , 1995 .
[28] 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).
[29] Sridha Sridharan,et al. Crowd Counting Using Multiple Local Features , 2009, 2009 Digital Image Computing: Techniques and Applications.
[30] Ramakant Nevatia,et al. Self-calibration of a camera from video of a walking human , 2002, Object recognition supported by user interaction for service robots.
[31] 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).
[32] Luc Van Gool,et al. Speeded-Up Robust Features (SURF) , 2008, Comput. Vis. Image Underst..
[33] Y. I. Abdel-Aziz. Direct linear transformation from comparator coordinates in close-range photogrammetry , 1971 .
[34] Christopher G. Harris,et al. A Combined Corner and Edge Detector , 1988, Alvey Vision Conference.
[35] Visvanathan Ramesh,et al. Fast Crowd Segmentation Using Shape Indexing , 2007, 2007 IEEE 11th International Conference on Computer Vision.
[36] M. Nixon,et al. On crowd density estimation for surveillance , 2006 .
[37] Roger Y. Tsai,et al. A versatile camera calibration technique for high-accuracy 3D machine vision metrology using off-the-shelf TV cameras and lenses , 1987, IEEE J. Robotics Autom..
[38] A. Marana,et al. Estimation of crowd density using image processing , 1997 .
[39] R. Y. Tsai,et al. An Efficient and Accurate Camera Calibration Technique for 3D Machine Vision , 1986, CVPR 1986.
[40] Nikos Paragios,et al. A MRF-based approach for real-time subway monitoring , 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.
[41] Zhengyou Zhang,et al. A Flexible New Technique for Camera Calibration , 2000, IEEE Trans. Pattern Anal. Mach. Intell..