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.
|Published Version (PDF 481Kb) |
Administrators only | Request a copy from author
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.
Citation countsare sourced monthly fromand 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 theindexing service can be viewed at the linked Google Scholar™ search.
|Item Type:||Conference Paper|
|Divisions:||Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering|
Past > Schools > School of Engineering Systems
|Deposited On:||17 Oct 2011 08:39|
|Last Modified:||21 Oct 2011 12:04|
Repository Staff Only: item control page