Tools
Birch, Philip M, Young, Rupert C D, Claret-Tournier, Frederic and Chatwin, Chris R (2004) Automated vehicle occupancy monitoring. Optical Engineering, 43 (8). pp. 1828-1832. ISSN 0091-3286
![]() |
PDF
- Published Version
Restricted to Registered users only Download (405kB) |
Official URL: http://doi.org/10.1117/1.1766300
Abstract
There are an increasing number of high-occupancy-vehicle lanes throughout the world. In these lanes each vehicle is required to have two or more occupants. These laws are currently manually enforced. This paper presents a new system for automating the enforcement process, using color image segmentation techniques to find the windshield area, and face detection to count the number of occupants within a vehicle.
Item Type: | Article |
---|---|
Additional Information: | This paper demonstrates the world's first attempt at automatically counting people within a vehicle as an automatic method for policing high occupancy lanes. It used a segmentation technique to locate the windscreen of vehicles and a neural network to locate the people within the segmented image that I developed. This work was part of a DTI Link (GR/R18611/01) on which I was the researcher. The project was with Leeds Council, Golden River Traffic, LOE, and Photonic Consultancy. This project later developed into the company Vehicle Occupancy Ltd. http://www.vehicleoccupancy.com |
Keywords: | Facial recognition systems ; Neural networks ; Cameras ; Networks ; Algorithms ; Glasses ; Image segmentation |
Schools and Departments: | School of Engineering and Informatics > Engineering and Design |
Subjects: | Q Science T Technology |
Related URLs: | |
Depositing User: | Chris Chatwin |
Date Deposited: | 02 Jul 2015 08:41 |
Last Modified: | 11 Jun 2017 22:15 |
URI: | http://srodev.sussex.ac.uk/id/eprint/44994 |
View download statistics for this item
📧 Request an update