Finite general Gaussian mixture modeling and application to image and video foreground segmentation

Journal of Electronic Imaging

Volumn 17, Issue 1, 2008, Pages

  Allili, Mohand Saïd ^a   Bouguila, Nizar ^b   Ziou, Djemel ^a  

^a UNIVERSITÉ DE SHERBROOKE   (Canada)

^b Concordia Institute for Information Systems Engineering ^*  (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

FINITE MIXTURE MODELS; FOREGROUND SEGMENTATION; GAUSSIAN MIXTURE MODELING; GAUSSIAN MIXTURES; GAUSSIANS; GENERAL GAUSSIAN DISTRIBUTION; INFORMATION-THEORETIC APPROACH; MIXTURE MODEL; NOISY DATA; OVERFITTING;

GAUSSIAN DISTRIBUTION; INFORMATION THEORY; MAXIMUM LIKELIHOOD ESTIMATION; MIXTURES;

IMAGE SEGMENTATION;

EID: 78149489170     PISSN: 10179909     EISSN: 1560229X     Source Type: Journal    
DOI: 10.1117/1.2898125     Document Type: Article

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