Abstract
Automatic abnormality detection in video sequences has recently gained an increasing attention within the research community. Although progress has been seen, there are still some limitations in current research. While most systems are designed at detecting specific abnormality, others which are capable of detecting more than two types of abnormalities rely on heavy computation. Therefore, we provide a framework for detecting abnormalities in video surveillance by using multiple features and cascade classifiers, yet achieve above real-time processing speed. Experimental results on two datasets show that the proposed framework can reliably detect abnormalities in the video sequence, outperforming the current state-of-the-art methods.
Originalsprog | Engelsk |
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Titel | INSTICC : The International Conference on Computer Vision Theory and Applications |
Antal sider | 6 |
Forlag | Institute for Systems and Technologies of Information, Control and Communication |
Publikationsdato | 2013 |
Artikelnummer | 140 |
Status | Udgivet - 2013 |
Begivenhed | 8th International Conference on Computer Vision Theory and Applications - Barcelona, Spanien Varighed: 21 feb. 2013 → 24 feb. 2013 Konferencens nummer: 8 http://www.visapp.visigrapp.org/?y=2013 |
Konference
Konference | 8th International Conference on Computer Vision Theory and Applications |
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Nummer | 8 |
Land/Område | Spanien |
By | Barcelona |
Periode | 21/02/2013 → 24/02/2013 |
Internetadresse |