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

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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:	Publisher
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

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