Single Gaussian (SG)

Note: This list of publications comes from my research. Please cite my following paper:

T. Bouwmans, F. El Baf, B. Vachon, “Statistical Background Modeling for Foreground Detection: A Survey”, Handbook of Pattern Recognition and Computer Vision, World Scientific Publishing, Volume 4, Part 2, Chapter 3, pages 181-199, January 2010.

List of Publications on Background Modeling using Single Gaussian for Foreground Detection

C. Wren, A. Azarbayejani, T. Darrell, A. Pentland, “Pfinder : Real-Time Tracking of the Human Body”, IEEE Transactions on Pattern Analysis and Machine Intelligence, Volume 19, No. 7, pages 780-785 , July 1997.

G. Medioni, “Adaptive Color Background Modeling for Real-time Segmentation of Video Streams”, International Conference on Imaging Science, Systems, and Technology, pages 227-232, Las Vegas, Nevada, June 1999.

M. Zhao, N. Li,C. Chen, “Robust automatic video object segmentation technique,” IEEE International Conference on Image Processing, September 2002.

M. Zhao, J. Bu, C. Chen, “Robust background subtraction in HSV color space”, SPIE Multimedia Systems and Applications V, Boston, USA, volume 4861, pages 325–332, July 2002.

Q. Zang, R. Klette, “Evaluation of an Adaptive Composite Gaussian Model in Video Surveillance”, CITR Technical Report 114, Auckland University, August 2002.

S. Park, J. Park, J. Aggarwal, “Video Retrieval of Human Interactions Using Model-based Motion Tracking and Multi-layer Finite State Automata”, LNCS Image and Video Retrieval, volume 2728, Springer-Verlag, Verlin, July, 2003.

J. Park, S. Park, J. Aggarwal, “Human motion tracking by combining view-based and model-based methods for monocular video sequences”, LNCS computational science and its applications, ICCSA 2003, volume 2669, Springer-Verlag, Verlin, May, 2003.

S. Park, J. Aggarwal, “Segmentation and Tracking of Interacting Human Body Parts under Occlusion and Shadowing “, IEEE Workshop on Motion and video computing Orlando, pages 105-111, December 2002

S. Bahadori, G. Grisetti, L. Iocchi, G. Leone, D. Nardi, “Real-Time Tracking of Multiple People through Stereo Vision”, Proceedings of IEE International Workshop on Intelligent Environments, 2005.

S. Bahadori, L. Iocchi, G. R. Leone, D. Nardi, L. Scozzafava, “Real-Time People Localization and Tracking through Fixed Stereo Vision”, Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA 2005, Bari, Italy, 2005.

S. Bahadori, L. Iocchi, G.R. Leone, D. Nardi, L. Scozzafava, “Real-Time People Localization and Tracking through Fixed Stereo Vision”, Applied Intelligence, 2007.

D. Hong, W. Woo, “Background Subtraction for a Vision-Based Interface”, PCM 2003, Volume 1, pages 263-267, December 2003.

D. Hong, “Background Subtraction for a 3D Vision-based User Interface”, MS Thesis, 2004.

J. Lluís, X. Miralles, O. Bastidas, “Reliable Real-Time Foreground Detection for Video Surveillance Applications”, ACM International Workshop on Video Surveillance and Sensor Networks, VSSN 2005, pages 59-62, Singapore, November 2005.

H. Kamkar-Parsi, R. Laganière, M. Bouchard, “A Multi-Criteria Model for Robust Foreground Extraction”, ACM Workshop on Visual Surveillance and Sensor Networks, VSSN 2005, pages 67-70, Singapore, November 2005.

L. Li, X. Wu, P. Zhao, “Real-time 3D Motion Recognition with Dense Depth Map”, 2000.

D. Buzan, “Robust Tracking Of Human Motion”, MS Thesis, Computer Science Department, Boston University, May 2003.

C. Rambabu, W. Woo, “Robust and Accurate Segmentation of Moving Objects in Real-time Video”, International Symposium on Ubiquitous VR, Volume 191, pages 65-69, 2006.

C. Rambabu, K. Kim, W. Woo, “Fast and accurate extraction of moving object silhouette for personalized Virtual Reality Studio at Home”, Journal of Real-Time Image Processing, 2009.

T. Celik, H. Demirel, H. Ozkaramanli, “Automatic fire detection in video sequences”, EUSIPCO 2006, 2006.

M. Singh, “Robust Tracking and Human Activity Recognition”, MS Thesis, University of Alberta, 2004.

C. Chang, R. Ansari, A. Khokhar, “Density Propagation for Tracking Initialization with Multiple Cues”, ICASSP 2004, Montreal, Canada, 2004.

J. Pan, C. Lin, C. Gu, M. Sun, “A robust spatio-temporal video object segmentation scheme with prestored background information” Proceedings IEEE International Symposium Circuits and Systems, pages 803-806, Arizona, USA, May 2002.

P. Kumar, K Sengupta, A. Lee, “A comparative study of different color spaces for foreground and shadow detection for traffic monitoring system”, 5^th International Conference on Intelligent Transportation Systems, pages 100-105, 2002.

M. Abdelkader, R. Chellappa, Q. Zheng, A. Chan, “Integrated Motion Detection and Tracking for Visual Surveillance”, Fourth IEEE International Conference on Computer Vision Systems, ICVS 2006, page 28, 2006.

X. Pan, Y. Wu, “GSM-MRF based classification approach for real-time moving object detection”, Journal of Zhejiang University Science A, Volume 9, Issue 2, pages 250-255, 2008.

B. Li, Z. Tang, B. Yuan, Z. Miao, “Segmentation of Moving Foreground Objects using Codebook and Local Binary Patterns”, Congress on Image and Signal Processing, CIPS 2008, pages 239-243, 2008.

P. Gil-Jiménez, H. Gómez-Moreno, J. Acevedo-Rodríguez, S. Maldonado-Bascón, “Continuous variance estimation in video surveillance sequences with high illumination changes”, Volume 89, Issue 7, pages 1412-1416, July 2009.

J. Gallego, M. Pardas, G. Haro, “Bayesian Foreground Segmentation and Tracking using Pixel-Wise Background Model and Region Based Foreground Model”, ICIP 2009, Cairo, Egypt, November 2009.

H. Kim, A. Hilton “Graph-based foreground extraction in extended color space”, ICIP 2009, pages 3221-3224, Cairo, Egypt, November 2009.

T. Chen, S. Hsu, S. Chien, “Robust video object segmentation based on K-Means background clustering and watershed in ill-conditioned surveillance systems”, International Conference on Multimedia and Expo, ICME 2007, pages 787-790, 2007.

W. Izquierdo Guerra, E. García Reyes, “A Novel Approach to Robust Background Subtraction”, CIARP 2009, LNCS 5856, pages 69-76, 2009.

E. Lopez, R.M. Luque, “Stochastic approximation for background modeling”, Computer Vision and Image Understanding, CVIU 2011, 2011.

J. Paruchuri, S. Edwin, S. Cheung, C. Chen, “Spatially Adaptive Illumination Modeling for Background Subtraction”, International Conference on Computer Vision, ICCV 2011 Workshop on Visual Surveillance, Barcelona, Spain, November 2011.

J. Landabaso, J. Pujol-Alcolado, T. Montserrat, D. Marimon, J. Civit, O. Divorra Escoda, “A Global Probabilistic Framework for the Foreground, Background and Shadow Classification Task”, International Conference on Image Processing, ICIP 2009, pages 3189-3192, November 2009.

A. Yoneyama, C. Yeh, C. Kuo, “Robust vehicle and traffic information extraction for highway surveillance”, EURASIP Journal on Applied Signal Processing, pages 2305-2321, 2005.

P. Spagnolo, M. Leo, G. Attolico, A. Distante, “A Supervised Approach in Background Modelling for Visual Surveillance”, AVBPA 2003, pages 592-599, June 2003.

P. Spagnolo, T. D’Orazio, M. Leo, N. Mosca, M. Nitti, “A Background Modelling Algorithm Based on Energy Evaluation”, International Conference on Computer Vision Theory and Applications, VISAPP 2006, Setúbal, Portugal, February 2006.

P. Spagnolo, M. Leo, T. D’Orazio, N. Mosca, M. Nitti, “A Background Modelling Algorithm for Motion Detection”, International Symposium on Communications, Control and Signal Processing, ISCCSP 2006, Marrakech, Morocco, March 2006.

P. Henderson, M. Vertescher, "An Analysis of Parallelized Motion Masking using Dual-Mode Single Gaussian Models", Preprint, 2017.

W. Nebili, B. Farou, H. Seridi, "Background subtraction using Artificial Immune Recognition System and Single Gaussian (AIRS-SG)", Multimedia Tools and Applications, April 2020.