Online least squares one-class support vector machines-based abnormal visual event detection

Sensors (Switzerland)

Volumn 13, Issue 12, 2013, Pages 17130-17155

  Wang, Tian ^a   Chen, Jie ^b   Zhou, Yi ^c   Snoussi, Hichem ^a  

^a UNIVERSITÉ DE TECHNOLOGIE DE TROYES   (France)

^b UNIVERSITÉ DE NICE SOPHIA ANTIPOLIS   (France)

^c DALIAN MARITIME UNIVERSITY   (China)

Author keywords

Abnormal detection; Covariance matrix descriptor; Online least squares one class SVM; Optical flow

Indexed keywords

COVARIANCE MATRIX; OPTICAL FLOWS; SECURITY SYSTEMS;

ABNORMAL DETECTION; ABNORMAL EVENT DETECTIONS; COHERENCE CRITERION; DESCRIPTORS; ONE CLASS-SVM; ONE-CLASS CLASSIFICATION ALGORITHM; ONE-CLASS SUPPORT VECTOR MACHINE; REGULARIZED LEAST SQUARES;

SUPPORT VECTOR MACHINES;

EID: 84890221580     PISSN: 14248220     EISSN: None     Source Type: Journal    
DOI: 10.3390/s131217130     Document Type: Article

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