TY - GEN
T1 - Practical mixtures of gaussians with brightness monitoring
AU - Atev, Stefan
AU - Masoud, Osama
AU - Papanikolopoulos, Nikolaos P
PY - 2004
Y1 - 2004
N2 - 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.
AB - 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.
KW - Background segmentation
KW - Illumination monitoring
KW - Mixture models
UR - https://www.scopus.com/pages/publications/13344279350
UR - https://www.scopus.com/pages/publications/13344279350#tab=citedBy
U2 - 10.1109/ITSC.2004.1398937
DO - 10.1109/ITSC.2004.1398937
M3 - Conference contribution
AN - SCOPUS:13344279350
SN - 0780385004
T3 - IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC
SP - 423
EP - 428
BT - Proceedings - 7th International IEEE Conference on Intelligent Transportation Systems, ITSC 2004
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - e 7th IEEE Intelligent Transportation Systems Conference, ITSC 2004
Y2 - 3 October 2004 through 6 October 2004
ER -