Hybrid Traffic Accident Classification Models
نویسندگان
چکیده
Traffic closed-circuit television (CCTV) devices can be used to detect and track objects on roads by designing applying artificial intelligence deep learning models. However, extracting useful information from the detected determining occurrence of traffic accidents are usually difficult. This paper proposes a CCTV frame-based hybrid accident classification model that enables identification whether frame includes generating object trajectories. The proposed utilizes Vision Transformer (ViT) Convolutional Neural Network (CNN) extract latent representations each corresponding fusion trajectory features was performed improve ability method. In experiments, Car Accident Detection Prediction (CADP) dataset train model, accuracy approximately 97%. experimental results indicate method demonstrates an improved performance compared traditional
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ژورنال
عنوان ژورنال: Mathematics
سال: 2023
ISSN: ['2227-7390']
DOI: https://doi.org/10.3390/math11041050