Improving Gaussian mixture model based adaptive background modeling using hysteresis thresholding;Gauss karişim modeli tabanli uyarlamali arkaplan modelinin histerezis eşikleme ile i̇yileştirilmesi

2007 IEEE 15th Signal Processing and Communications Applications, SIU

Volumn , Issue , 2007, Pages

  Türdü, Deniz ^a   Erdoǧan, Hakan ^a  

^a SABANCI UNIVERSITY   (Turkey)

Author keywords

[No Author keywords available]

Indexed keywords

BACKGROUND MODELING; CONNECTED COMPONENTS; CONVEX HULLS; FOREGROUND DETECTION; FOREGROUND OBJECTS; GAUSSIAN MIXTURE MODEL; OBJECT DETECTION; REAL-TIME SURVEILLANCE; THRESHOLDING; THRESHOLDING METHODS;

ELASTICITY; HYSTERESIS; SECURITY SYSTEMS; SIGNAL PROCESSING;

EDGE DETECTION;

EID: 50349097738     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SIU.2007.4298725     Document Type: Conference Paper

References (6)

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2. http://mmc36.informatik.uni-augsburg.de/mediawiki/data/6/65/VSSN-Algo.pd f
3. P. KaewTraKulPong and R. Bowden, "An Improved Adaptive Background Mixture Model for Real-time Tracking with Shadow Detection," chapter 11, pages 135-144. Video-Based Surveillance Systems. Kluwer Academic Publishers, Boston, 2002.
4. Wei Xu, Yue Zhou, Yihong Gong, and Hai Tao, "Background modeling using time dependent Markov random field with image pyramid," in Proc. IEEE Motion '05, January 2005.
5. Christopher Richard Wren, Ali Azarbayejani, Trevor Darrell, Alex Paul Pentland, "Pfinder: Real-Time Tracking of the Human Body," IEEE Transactions on Pattern Analysis and Machine Intelligence, v.19 n.7, p.780-785, July 1997
6. C. Ridder, O. Munkelt & H. Kirchner, "Adaptive background estimation and foreground detection using Kalman filtering," in Proc. ICAM, 193-199, 1995.