Paper
4 March 2015 Development of a portable bicycle/pedestrian monitoring system for safety enhancement
Author Affiliations +
Proceedings Volume 9407, Video Surveillance and Transportation Imaging Applications 2015; 94070D (2015) https://doi.org/10.1117/12.2079387
Event: SPIE/IS&T Electronic Imaging, 2015, San Francisco, California, United States
Abstract
Pedestrians involved in roadway accidents account for nearly 12 percent of all traffic fatalities and 59,000 injuries each year. Most injuries occur when pedestrians attempt to cross roads, and there have been noted differences in accident rates midblock vs. at intersections. Collecting data on pedestrian behavior is a time consuming manual process that is prone to error. This leads to a lack of quality information to guide the proper design of lane markings and traffic signals to enhance pedestrian safety. Researchers at the Georgia Tech Research Institute are developing and testing an automated system that can be rapidly deployed for data collection to support the analysis of pedestrian behavior at intersections and midblock crossings with and without traffic signals. This system will analyze the collected video data to automatically identify and characterize the number of pedestrians and their behavior. It consists of a mobile trailer with four high definition pan-tilt cameras for data collection. The software is custom designed and uses state of the art commercial pedestrian detection algorithms. We will be presenting the system hardware and software design, challenges, and results from the preliminary system testing. Preliminary results indicate the ability to provide representative quantitative data on pedestrian motion data more efficiently than current techniques.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Colin Usher and W. D. R. Daley "Development of a portable bicycle/pedestrian monitoring system for safety enhancement", Proc. SPIE 9407, Video Surveillance and Transportation Imaging Applications 2015, 94070D (4 March 2015); https://doi.org/10.1117/12.2079387
Lens.org Logo
CITATIONS
Cited by 1 scholarly publication.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Cameras

Safety

Video

Analytical research

Image processing

Video surveillance

Injuries

RELATED CONTENT


Back to Top