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Vehicle Detector Method for Complex Environments on Embedded Linux Platform
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 78 - Number 14 |
| Year of Publication: 2013 |
| Authors: A. Shanthi, M. P. Sirisha |
10.5120/13592-1363
|
A. Shanthi, M. P. Sirisha . Vehicle Detector Method for Complex Environments on Embedded Linux Platform. International Journal of Computer Applications. 78, 14 ( September 2013), 21-25. DOI=10.5120/13592-1363
Abstract
Traffic surveillance and investigation is important to increase the safety on roads. Vehicle detection and tracking in road surveillance is classical task in computer vision and critical component in modern traffic monitoring system. Intelligent transport system (ITS) brings advanced computing, sensing and telecommunication technologies to transport related problems. Many traffic surveillance systems have been developed to detect traffic congestion. In this paper video traffic detection system is used to detect the vehicles and track the vehicle speed. This project is implemented using Open CV Image processing library. In implementing this project gray scale conversion, background subtraction, and morphological operations are used. This proposed system uses a webcam located in traffic surveillance system. It captures video stream and send to ARM9 microcontroller; it processes the information such as number of vehicles, vehicle speed and send to remote PC.
References
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- Learning OpenCV by Gary Bradski and Adrian Kaehler.
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