Accident Video

Accident video analysis focuses on automatically understanding and classifying events leading to or resulting in traffic accidents using video data from various sources like dashcams and CCTV. Current research emphasizes developing robust models, often incorporating convolutional neural networks and transformers, to analyze multi-modal data (video, text descriptions) and predict accident likelihood, identify causal factors, and even reconstruct accident sequences. This field is crucial for improving road safety by informing the development of advanced driver-assistance systems and contributing to a more comprehensive understanding of accident causation for better traffic regulations and infrastructure design.