Automated recognition of drunk driving on highways from video sequences


Autoria(s): Carswell, Brett; Chandran, Vinod
Data(s)

1994

Resumo

A new method for the detection of abnormal vehicle trajectories is proposed. It couples optical flow extraction of vehicle velocities with a neural network classifier. Abnormal trajectories are indicative of drunk or sleepy drivers. A single feature of the vehicle, eg., a tail light, is isolated and the optical flow computed only around this feature rather than at each pixel in the image.

Formato

application/pdf

Identificador

http://eprints.qut.edu.au/46492/

Publicador

IEEE

Relação

http://eprints.qut.edu.au/46492/1/46492P.pdf

DOI:10.1109/ICIP.1994.413581

Carswell, Brett & Chandran, Vinod (1994) Automated recognition of drunk driving on highways from video sequences. In Proceedings of IEEE International Conference Image Processing, IEEE, Austin, Texas, USA, pp. 306-310.

Fonte

Faculty of Built Environment and Engineering; School of Engineering Systems

Tipo

Conference Paper