Automated recognition of drunk driving on highways from video sequences

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.

[img] Published Version (PDF 493kB)
Administrators only | Request a copy from author

View at publisher


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.

Impact and interest:

0 citations in Web of Science®
Search Google Scholar™

Citation counts are sourced monthly from Scopus and Web of Science® citation databases.

These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.

Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.

ID Code: 46492
Item Type: Conference Paper
Refereed: No
DOI: 10.1109/ICIP.1994.413581
Divisions: Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Past > Schools > School of Engineering Systems
Deposited On: 16 Oct 2011 22:39
Last Modified: 21 Oct 2011 02:04

Export: EndNote | Dublin Core | BibTeX

Repository Staff Only: item control page