A deep learning-based car accident detection approach in video-based traffic surveillance

This study introduces a deep learning approach using convolutional neural networks (CNNs) to enhance car accident detection, prioritizing accuracy and real-time performance, and demonstrates accurate results, significantly enhancing car accident detection in video-based traffic surveillance scenarios.