Title :
Practical mixtures of Gaussians with brightness monitoring
Author :
Atev, Stefan ; Masoud, Osama ; Papanikolopoulos, Nikos
Author_Institution :
Dept. of Comput. Sci. & Eng., Minnesota Univ., Minneapolis, MN, USA
Abstract :
We discuss some of the practical issues concerning the use of mixtures of Gaussians for background segmentation in outdoor scenes, including the choice of parameters. Different covariance representations and their performance impact are examined. In addition, we propose a simple, yet efficient method for coping with sudden global illumination changes based on smoothing brightness and contrast changes over time. All of the discussed methods are capable of running in real time at reasonable resolution on current generation PCs.
Keywords :
Gaussian processes; covariance matrices; image resolution; image segmentation; image sequences; monitoring; traffic; video signal processing; Gaussian mixtures; background image segmentation; brightness monitoring; covariance matrices; current generation PC; illumination; image resolution; image sequences; smoothing methods; traffic monitoring; video signal processing; Brightness; Computer science; Computerized monitoring; Condition monitoring; Gaussian processes; Layout; Lighting; Personal communication networks; Surveillance; Video sequences;
Conference_Titel :
Intelligent Transportation Systems, 2004. Proceedings. The 7th International IEEE Conference on
Print_ISBN :
0-7803-8500-4
DOI :
10.1109/ITSC.2004.1398937
