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https://www.sciencedirect.com/science/article/pii/S0165168405003555
The ability to detect online abnormal events in signals is essential in many real-world signal processing applications. Previous algorithms require an explicit signal statistical model, and interpret abnormal events as statistical model abrupt changes.Cited by: 151
https://www.researchgate.net/publication/222433459_An_Online_Support_Vector_Machine_for_Abnormal_Events_Detection
The online LS-OC-SVM is adopted to handle the abnormal event detection problem. Each frame of the video is characterized by the covariance matrix descriptor encoding the moving information, then is...
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3892866/
The online LS-OC-SVM is adopted to handle the abnormal event detection problem. Each frame of the video is characterized by the covariance matrix descriptor encoding the moving information, then is classified into a normal or an abnormal frame.Cited by: 14
http://www.cs.cmu.edu/~arthurg/papers/DavDesGreDon06.pdf
An online support vector machine for abnormal events detection Manuel Davya, ,1, Fre´de´ric Desobryb,1, Arthur Grettonc,1, Christian Doncarlid aLaboratoire d’Automatique, Ge´nie Informatique et Signal, UMR CNRS 8146, Ecole Centrale de Lille, BP 48, 59651 Villeneuve d’Ascq cedex, France
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.60.1397
abnormal event detection online support vector machine model-free approach previous algorithm maximum likelihood statistical model abrupt change abnormal event bayes estimation theory support vector novelty detection explicit signal statistical model explicit descriptor statistical model sequential optimization algorithm numerous case ...
https://www.academia.edu/759294/An_online_support_vector_machine_for_abnormal_events_detection
An online support vector machine for abnormal events detection
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