A video analytics framework for amorphous and unstructured anomaly detection

Proceedings - International Conference on Image Processing, ICIP

Volumn , Issue , 2011, Pages 2945-2948

  Mueller, Martin ^a   Karasev, Peter ^a   Kolesov, Ivan ^a   Tannenbaum, Allen ^a  

^a GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

Active Contours; Anomaly Detection; Machine Vision; Video Analytics

Indexed keywords

ACTIVE CONTOURS; ANOMALY DETECTION; AUTOMATED DETECTION; BAYESIAN PROCEDURES; DETECTION PERFORMANCE; GENERAL THEORY; HUMAN RESPONSE; IMAGE REGIONS; LIKELIHOOD FUNCTIONS; OBJECT OF INTERESTS; RARE EVENT; TIME STEP; TRAINING PHASE; VIDEO ANALYTICS; VIDEO DATA; VIDEO SURVEILLANCE SYSTEMS; WEAK CLASSIFIERS;

COMPUTER VISION; MOTION ESTIMATION; OPTICAL DATA PROCESSING;

SECURITY SYSTEMS;

EID: 84856264717     PISSN: 15224880     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIP.2011.6116279     Document Type: Conference Paper

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