A self-organizing approach to background subtraction for visual surveillance applications

IEEE Transactions on Image Processing

Volumn 17, Issue 7, 2008, Pages 1168-1177

  Maddalena, Lucia ^a   Petrosino, Alfredo ^b  

^a CNR   (Italy)

^b UNIVERSITY OF NAPLES PARTHENOPE   (Italy)

Author keywords

Background subtraction; Motion detection; Neural network; Self organization; Visual surveillance

Indexed keywords

ARTIFICIAL INTELLIGENCE; COGNITIVE SYSTEMS; COMPUTER APPLICATIONS; COMPUTER HARDWARE DESCRIPTION LANGUAGES; COMPUTER VISION; DETECTOR CIRCUITS; IMAGE PROCESSING; IMAGING SYSTEMS; IMAGING TECHNIQUES; NEURAL NETWORKS; OPTICAL DATA PROCESSING; PHOTOGRAPHY; SECURITY SYSTEMS; VIDEO RECORDING; VIDEO STREAMING;

ACTIVITY ANALYSIS; ARTIFICIAL NEURAL NETWORKS; BACKGROUND MODELING; BACKGROUND SUBTRACTION; COGNITIVE SCIENCES; COLOR VIDEOS; COMPUTER VISION APPLICATIONS; DETECTING MOVING OBJECTS; DETECTION ACCURACY; FOCUS-OF-ATTENTION; ILLUMINATION VARIATIONS; IMAGE-PROCESSING SYSTEMS; INFORMATION EXTRACTION; MODELING TECHNIQUES; MOTION DETECTION; MOVING OBJECTS; NEURAL NETWORK; PROCESSING SPEEDS; ROBUST DETECTION; SELF ORGANIZATION; SELF ORGANIZATIONS; SELF-ORGANIZING APPROACHES; STATIONARY CAMERAS; VIDEO SURVEILLANCE SYSTEMS; VISUAL SURVEILLANCE;

OBJECT RECOGNITION;

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; METHODOLOGY; ORGANIZATION AND MANAGEMENT; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SECURITY MEASURES; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE;

EID: 45949086871     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIP.2008.924285     Document Type: Article

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