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دوازدهمین کنفرانس بین المللی فناوری اطلاعات و دانش
Violence detection using one-dimensional convolutional networks
Authors :
Narges Honarjoo
1
Ali Abdari
2
Azadeh Mansouri
3
1- دانشگاه خوارزمی
2- دانشگاه خوارزمی
3- دانشگاه خوارزمی
Keywords :
violence detection، one-dimensional convolution، real-time application، temporal pooling
Abstract :
Violence detection in surveillance video processing is a useful capability helping discover abnormal events in different places. Utilizing methods considering the accuracy and complexity simultaneously can provide systems suitable for real-time applications. In this paper, by exploiting one-dimensional convolutional networks a new approach is proposed which extracts the temporal features across consecutive frames properly. This approach not only represents a series of frames with a robust feature vector, but it also is low-complexity and can be applied for real-time applications. The experimental results on Hockey, ViolentFlow reveal the efficiency of the proposed method
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