Application of a Temporal Boundary Attention Recurrent Neural Network in Video Violence Detection
With the extensive application of video surveillance technology,how to automatically and accurately detect violent behaviors in videos has become an important research topic.This paper proposes a recurrent neural network model based on temporal boundary attention mechanism,which is applied to the detection of violent behaviors in videos.By introducing the temporal boundary attention mechanism,this model is capable of capturing temporal features and critical information in videos effectively,thereby improving the detection accuracy.Experimental results show that compared with traditional neural network methods,the proposed model has achieved significant performance improvements on multiple public datasets.
video violence detectiontemporal boundary attention mechanismrecurrent neural network
万方数据
维普
