Real-time anomaly detection and localization in crowded scenes

IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops

Volumn 2015-October, Issue , 2015, Pages 56-62

  Sabokrou, Mohammad ^a   Fathy, Mahmood ^b   Hoseini, Mojtaba ^a   Klette, Reinhard ^c  

^a MALEK ASHTAR UNIVERSITY OF TECHNOLOGY   (Iran)

^b IRAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Iran)

^c AUCKLAND UNIVERSITY OF TECHNOLOGY   (New Zealand)

Author keywords

Benchmark testing; Feature extraction; Gaussian distribution; Real time systems; Reliability; Streaming media; Training

Indexed keywords

COMPUTER VISION; COST EFFECTIVENESS; FEATURE EXTRACTION; GAUSSIAN DISTRIBUTION; INTERACTIVE COMPUTER SYSTEMS; MEDIA STREAMING; PERSONNEL TRAINING; REAL TIME SYSTEMS; RELIABILITY;

ADJACENT PATCHES; BENCHMARK TESTING; GAUSSIAN CLASSIFIER; LOCAL AND GLOBAL DESCRIPTORS; REAL-TIME ANOMALY DETECTIONS; STATE-OF-THE-ART PROCEDURES; STREAMING MEDIA; STRUCTURE SIMILARITY;

ANOMALY DETECTION;

EID: 84951976062     PISSN: 21607508     EISSN: 21607516     Source Type: Conference Proceeding    
DOI: 10.1109/CVPRW.2015.7301284     Document Type: Conference Paper

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