Comparison of background subtraction methods for a multimedia application

2007 IWSSIP and EC-SIPMCS - Proc. 2007 14th Int. Workshop on Systems, Signals and Image Processing, and 6th EURASIP Conf. Focused on Speech and Image Processing, Multimedia Communications and Services

Volumn , Issue , 2007, Pages 385-388

  El Baf, F ^a   Bouwmans, T ^a   Vachon, B ^a  

^a UNIVERSITÉ DE LA ROCHELLE   (France)

Author keywords

Background subtraction; Multimedia video processing

Indexed keywords

BLOOD VESSEL PROSTHESES; COMMUNICATION; DIGITAL IMAGE STORAGE; ELECTRIC CONDUCTIVITY MEASUREMENT; IMAGE PROCESSING; IMAGING SYSTEMS; IMAGING TECHNIQUES; MULTIMEDIA SERVICES; MULTIMEDIA SYSTEMS; OPTICAL DATA PROCESSING; PHOTOGRAPHY; SPEECH PROCESSING; VIDEO RECORDING; WORLD WIDE WEB;

BACKGROUND SUBTRACTION; INTERACTIVE LEARNING; INTERNATIONAL CONFERENCES; MULTIMEDIA APPLICATIONS; MULTIMEDIA COMMUNICATIONS; MULTIMEDIA VIDEO PROCESSING; VIDEO SEQUENCING;

SPEECH;

EID: 48049091804     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IWSSIP.2007.4381122     Document Type: Conference Paper

References (12)

1. D.Semani, C. Saint-Jean, C. Frélicot, T. Bouwmans, P. Courtellemont, "Alive Fish species characterization for on line video-based recognition", Proceeding of the SPR 2002, Windsor, Canada, pages 689-698, January 2002.
2. D. Semani, T. Bouwmans, C. Frélicot, P. Courtellemont, "Automatic Fish Recognition in Interactive Live Videos", Proceeding of the IVRCIA 2002, volume XIV, Orlando, Florida, pages 94-99, July 2002.
3. J. Desfieux, L. Mascarilla, P. Courtellemont, "Interactivity and Educational Information in Virtual Real-Time 3D Videos", Proceeding of the IVRCIA 2002, 2002.
4. 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.
5. C. Stauffer, "Adaptive background mixture models for real-time tracking", Proceedings IEEE Conference on Computer Vision and Pattern Recognition, pages 246-252, 1999.
6. A. Elgammal, "Non-parametric model for Background Subtraction", in Proceedings of IEEE ICCV'99 FRAME-RATE Workshop, 1999.
7. D. Culibrk, D. Socek, O. Marques, B. Furht, "Automatic kernel width selection for neural network based video object segmentation", VISAPP 2007, Barcelona, Spain, March 2007.
8. R. Cucchiara, C. Grana, M. Piccardi, A. Prati, "Detecting Moving Objects, Ghosts and Shadows in Video Streams", IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI 2003), volume 25, no 10, pages 1337-1342, 2003.
9. L. Li, W. Huang, I.Y.H. Gu, Q. Tian, Statistical modeling of complex backgrounds for foreground object detection, IEEE Trans. Image Process.13 (11) (2004) 1459-1472.
10. K. Kim, T. Chalidabhongse, D. Harwood, L. Davis, "PDR: Performance Evaluation Method for Foreground-Background Segmentation Algorithms", EURASIP Journal on Applied Signal Processing, 2006.
11. P. KaewTraKulPong, R. Bowden, "An Improved Adaptive Background Mixture Model for Real-time Tracking with Shadow Detection", Proceedings 2nd European Workshop on Advanced Video Based Surveillance Systems, AVBS 2001, Kingston, UK, September 2001.
12. VSSW 2005 - Algorithm Competition in Foreground/Background Segmentation: http://www.multimedia-computing.org/VSSN05_OSAC/389-392