Abstract
Video based vehicle detection technology is an integral part of Intelligent Transportation System (ITS), due to its non-intrusiveness and comprehensive vehicle behavior data collection capabilities. This paper proposes an efficient video based vehicle detection system based on Harris-Stephen corner detector algorithm. The algorithm was used to develop a stand alone vehicle detection and tracking system that determines vehicle counts and speeds at arterial roadways and freeways. The proposed video based vehicle detection system was developed to eliminate the need of complex calibration, robustness to contrasts variations, and better performance with low resolutions videos. The algorithm performance for accuracy in vehicle counts and speed was evaluated. The performance of the proposed system is equivalent or better compared to a commercial vehicle detection system. Using the developed vehicle detection and tracking system an advance warning intelligent transportation system was designed and implemented to alert commuters in advance of speed reductions and congestions at work zones and special events. The effectiveness of the advance warning system was evaluated and the impact discussed.
Highlights
The goals of Intelligent Transportation System (ITS) are to enhance public safety, reduce congestion, improved travel and transit information, generate cost savings to motor carriers and emergencies operators, reduce detrimental environmental impacts, etc
This paper proposes an efficient video based vehicle detection system based on Harris-Stephen corner detector algorithm
In order to address the above drawbacks, we propose a vehicle detection system for ITS application based on Harris-Stephen Corner Method (HSCM)
Summary
The goals of Intelligent Transportation System (ITS) are to enhance public safety, reduce congestion, improved travel and transit information, generate cost savings to motor carriers and emergencies operators, reduce detrimental environmental impacts, etc. Vehicle detection system may be defined as a system which is capable of detecting vehicles and measure traffic parameters such as count, speed, incidents, etc. Vehicle detection by video cameras is one of the most promising non-intrusive technologies for large-scale data collection and implementation of advanced traffic control and management schemes. Many useful and comprehensive parameters like-count, speed, vehicle classification, queue lengths, volume/lane, lane changes, microscopic and macroscopic behaviors can be evaluated through video based vehicle detection and tracking. Video based vehicle data collection systems are being explored [3] by commercial video detection systems. These systems require extensive calibration and require user knowledge and expertise to configure these systems. The evaluations are tabulated and the advantages and accuracy of our implementation and discussed
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