Effective Gaussian mixture learning for video background subtraction

IEEE Transactions on Pattern Analysis and Machine Intelligence

Volumn 27, Issue 5, 2005, Pages 827-832

  Lee, Dar Shyang ^a  

^a California Research Center at Ricoh Innovations Inc   (United States)

Author keywords

Adaptive Gaussian mixture; Background subtraction; Online EM

Indexed keywords

ADAPTIVE ALGORITHMS; APPROXIMATION THEORY; LEARNING ALGORITHMS; MATHEMATICAL MODELS; PROBABILITY; REGRESSION ANALYSIS;

ADAPTIVE GAUSSIAN MIXTURE; BACKGROUND SUBTRACTION; ONLINE EM;

IMAGE SEGMENTATION;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; COMPARATIVE STUDY; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; EVALUATION; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; INFORMATION RETRIEVAL; MATHEMATICAL COMPUTING; METHODOLOGY; NORMAL DISTRIBUTION; PHOTOGRAPHY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING; STATISTICAL MODEL; VALIDATION STUDY; VIDEORECORDING;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; INFORMATION STORAGE AND RETRIEVAL; MODELS, STATISTICAL; NORMAL DISTRIBUTION; NUMERICAL ANALYSIS, COMPUTER-ASSISTED; PATTERN RECOGNITION, AUTOMATED; PHOTOGRAPHY; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING, COMPUTER-ASSISTED; SUBTRACTION TECHNIQUE; VIDEO RECORDING;

EID: 18144412408     PISSN: 01628828     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPAMI.2005.102     Document Type: Article

References (10)

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