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http://dx.doi.org/10.5909/JBE.2017.22.2.234

Real-time Violence Video Detection based on Movement Change Characteristics  

Kim, Kwangsoo (Dept. of Electronics and Control Engineering, Hanbat National University)
Kim, Ungtae (Dept. of Electronics and Control Engineering, Hanbat National University)
Kwak, Sooyeong (Dept. of Electronics and Control Engineering, Hanbat National University)
Publication Information
Journal of Broadcast Engineering / v.22, no.2, 2017 , pp. 234-239 More about this Journal
Abstract
A real-time violence detection algorithm based on a new descriptor using the magnitude and direction changes of movement in images is proposed. The descriptor was developed from the observation that the changes of violent actions are much larger than those of normal movements. Descriptor feature vectors consisting of descriptor values during several frames are obtained and these are inputs to SVM(Support Vector Machine) classifier for discriminating violence actions from and non-violence actions. Comparison experiments between the ViF(Violent Flow) and the proposed algorithm were conducted with three different types of datasets. The experimental results show that the proposed algorithm outperforms the ViF in every case.
Keywords
violence detection; movement descriptor; SVM classifier;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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