Automatic detection of vehicle occupancy and driver's seat belt status using deep learning

• Published in: Signal, image and video processing Vol. 17; no. 2; pp. 491 - 499
• Main Authors: Hosseini, Sara, Fathi, Abdolhossein
• Format: Journal Article
• Language: English
• Published: London Springer London 01.03.2023; Springer Nature B.V
• Subjects: Accuracy; Artificial neural networks; Automobiles; Computer Imaging; Computer Science; Deep learning; Image Processing and Computer Vision; Multimedia Information Systems; Original Paper; Pattern Recognition and Graphics; Seat belts; Signal,Image and Speech Processing; Transportation networks; Vision; Windshields; Car occupant detection; Deep learning; Seat belt status detection; Automated transport images analysis; Car windshield detection

Increasing the number of personal cars on the transportation routes causes a heavy traffic load. In many countries, special lines for high occupancy vehicles have been developed to reduce the traffic load. Another issue in monitoring the transportation is the control of driving rules such as driver’...