Fuzzy statistical modeling of dynamic backgrounds for moving object detection in infrared videos, In: Computer Vision and Pattern Recognition, 2009. ,
URL : https://hal.archives-ouvertes.fr/hal-00452812
Foreground Segmentation via Background Modeling on Riemannian Manifolds, 2010 20th International Conference on Pattern Recognition, pp.3570-3574, 2010. ,
DOI : 10.1109/ICPR.2010.871
Adaptive background modeling from an image sequence by using K-Means clustering, 2010. ,
Illumination-Sensitive Background Modeling Approach for Accurate Moving Object Detection, IEEE Transactions on Broadcasting, vol.57, issue.4, pp.794-801, 2011. ,
DOI : 10.1109/TBC.2011.2160106
Integrated Region-and Pixel-based Approach to Background Modeling, 2002. ,
DOI : 10.1109/motion.2002.1182206
URL : http://profs.sci.univr.it/~cristanm/Publications_files/WMVC2002_Cristani.pdf
A spatial sampling mechanism for effective background subtraction. In: Computer Vision Theory and Applications, pp.403-412, 2007. ,
Background Subtraction with Adaptive Spatio-Temporal Neighborhood Analysis In: Computer Vision Theory and Applications, pp.484-489, 2008. ,
The quality of training sample estimates of the Bhattacharyya coefficient, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.12, issue.1, pp.92-97, 1990. ,
DOI : 10.1109/34.41388
Self Adaptive background modeling for identifying persons' falls, 2010 Fifth International Workshop Semantic Media Adaptation and Personalization, 2010. ,
DOI : 10.1109/SMAP.2010.5706861
Image Segmentation in Video Sequences: A Probabilistic Approach, In: Uncertainty in Artificial Intelligence, pp.175-181, 1997. ,
Statistical background subtraction for a mobile observer, Proceedings Ninth IEEE International Conference on Computer Vision, pp.67-74, 2003. ,
DOI : 10.1109/ICCV.2003.1238315
URL : http://www.nada.kth.se/~hayman/ICCV2003/HaymanEklundhICCV2003.pdf
Real-time background subtraction for video surveillance: From research to reality, 2010 6th International Colloquium on Signal Processing & its Applications, 2010. ,
DOI : 10.1109/CSPA.2010.5545277
An improved adaptive background mixture model for real time tracking with shadow dectection, 2001. ,
Background modeling method based on improved multi-Gaussian distribution, International Conference on Computer Application and System Modeling, 2010. ,
Statistical Modeling of Complex Backgrounds for Foreground Object Detection, IEEE Transactions on Image Processing, vol.13, issue.11, pp.1459-1472, 2004. ,
DOI : 10.1109/TIP.2004.836169
FPGA based mixture Gaussian background modeling and motion detection, 2011 Seventh International Conference on Natural Computation, pp.2078-2081, 2011. ,
DOI : 10.1109/ICNC.2011.6022578
Learning and Removing Cast Shadows through a Multidistribution Approach, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.29, issue.7, pp.1133-1146, 2007. ,
DOI : 10.1109/TPAMI.2007.1039
A Bayesian computer vision system for modeling human interactions, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.22, issue.8, pp.831-843, 2000. ,
DOI : 10.1109/34.868684
URL : http://www.doc.ic.ac.uk/~xh1/Referece/Others/bayesian-model-for-interaction.pdf
Understanding Background Mixture Models for Foreground Segmentation, 2002. ,
Detecting moving shadows: algorithms and evaluation, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.25, issue.7 ,
DOI : 10.1109/TPAMI.2003.1206520
URL : http://cvrr.ucsd.edu/publications/2003/PAMIJuly2003.pdf
Smooth Foreground-Background Segmentation for Video Processing, 2006. ,
DOI : 10.1007/11612704_58
Object Modeling Using Gaussian Mixture Model for Infrared Image and its Application to Vehicle Detection, Journal of Robotics and Mechatronics, vol.18, issue.6, p.738, 2006. ,
DOI : 10.20965/jrm.2006.p0738
Gaussian Mixture Model in Improved HLS Color Space for Human Silhouette Extraction, 2006. ,
DOI : 10.1109/34.598236
An adaptive learning rate GMM for background extraction, Optoelectronics Letters, vol.3, issue.6, pp.460-463, 2008. ,
DOI : 10.1007/s11801-008-8078-3
Adaptive background mixture models for real-time tracking, Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149), pp.2246-2252, 1999. ,
DOI : 10.1109/CVPR.1999.784637
Topology free hidden Markov models: application to background modeling, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001, pp.294-301, 2001. ,
DOI : 10.1109/ICCV.2001.937532
URL : http://svr-www.eng.cam.ac.uk/~bdrs2/papers/stenger_iccv01.pdf
An improved adaptive background modeling algorithm based on Gaussian Mixture Model, International Conference on Signal Processing Proceedings, 2008. ,
A re-evaluation of mixture of Gaussian background modeling [video signal processing applications, International Conference on Acoustics, Speech, and Signal Processing, 2005. ,
Pfinder: real-time tracking of the human body, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.19, issue.7, pp.780-785, 1997. ,
DOI : 10.1109/34.598236
Object kinematic model: A novel approach of adaptive background mixture models for video segmentation, 2010. ,
Evaluation of an Adaptive Composite Gaussian Model in Video Surveillance, 2003. ,
DOI : 10.1007/978-3-540-45179-2_21
Motion Human Detection Based on Background Subtraction, 2010 Second International Workshop on Education Technology and Computer Science, 2010. ,
DOI : 10.1109/ETCS.2010.440
Recursive unsupervised learning of finite mixture models, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.26, issue.5, pp.651-656, 2004. ,
DOI : 10.1109/TPAMI.2004.1273970