Neural network approach to background modeling for video object segmentation

IEEE Transactions on Neural Networks

Volumn 18, Issue 6, 2007, Pages 1614-1627

  Ćulibrk, Dubravko ^a   Marques, Oge ^a   Socek, Daniel ^a   Kalva, Hari ^a   Furht, Borko ^a  

^a FLORIDA ATLANTIC UNIVERSITY   (United States)

Author keywords

Automated surveillance; Background subtraction; Neural networks (NNs); Object segmentation; Video processing

Indexed keywords

COMPUTER SIMULATION; IMAGE SEGMENTATION; LEARNING ALGORITHMS; UNSUPERVISED LEARNING;

BACKGROUND SUBTRACTION; OBJECT SEGMENTATION; UNSUPERVISED BAYESIAN CLASSIFIER; VIDEO PROCESSING;

NEURAL NETWORKS;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; ARTIFICIAL NEURAL NETWORK; AUTOMATED PATTERN RECOGNITION; BAYES THEOREM; CLUSTER ANALYSIS; COLORIMETRY; COMPUTER GRAPHICS; COMPUTER PROGRAM; COMPUTER SIMULATION; FEEDBACK SYSTEM; ILLUMINATION; IMAGE ENHANCEMENT; IMAGE PROCESSING; IMAGE SUBTRACTION; INFORMATION RETRIEVAL; MATHEMATICAL COMPUTING; METHODOLOGY; PHOTOGRAPHY; SIGNAL PROCESSING; STATISTICAL ANALYSIS; STATISTICAL MODEL; VIDEORECORDING;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BAYES THEOREM; CLUSTER ANALYSIS; COLORIMETRY; COMPUTER GRAPHICS; COMPUTER SIMULATION; DATA INTERPRETATION, STATISTICAL; FEEDBACK; IMAGE ENHANCEMENT; IMAGE PROCESSING, COMPUTER-ASSISTED; INFORMATION STORAGE AND RETRIEVAL; LIGHTING; MODELS, STATISTICAL; NEURAL NETWORKS (COMPUTER); NUMERICAL ANALYSIS, COMPUTER-ASSISTED; PATTERN RECOGNITION, AUTOMATED; PHOTOGRAMMETRY; SIGNAL PROCESSING, COMPUTER-ASSISTED; SOFTWARE; SUBTRACTION TECHNIQUE; VIDEO RECORDING;

EID: 36348980559     PISSN: 10459227     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNN.2007.896861     Document Type: Article

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