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Automated vehicle occupancy monitoring
journal contribution
posted on 2023-06-08, 15:01 authored by Philip M Birch, Rupert C D Young, Frederic Claret-Tournier, Chris ChatwinChris ChatwinThere 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.
History
Publication status
- Published
File Version
- Published version
Journal
Optical EngineeringISSN
0091-3286Publisher
Society of Photo-Optical Instrumentation EngineersExternal DOI
Issue
8Volume
43Page range
1828-1832Department affiliated with
- Engineering and Design Publications
Notes
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.comFull text available
- No
Peer reviewed?
- Yes
Legacy Posted Date
2015-07-02First Compliant Deposit (FCD) Date
2015-07-02Usage metrics
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