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This paper presents a new and efficient way to track the movement of vehicles and counting them for the purpose of better and economical vehicle parking system. The numbers of the vehicles are growing very rapidly which produced the problem of the parking. There are diverse techniques that have been introduced by many researchers those are used according to the need and scale. This paper is addressed the problem of vehicle parking for small scale by using the surveillance camera. A background subtraction is used to detect moving vehicle. The moving vehicles are tracked using the Gaussian mixture model and a foreground mask is created. Dilation is applied to remove inconsistent and noise particles. The variable intensity distribution is plotted on a histogram and changes are identified to count vehicles. Each parking spot can accommodate only certain numbers of vehicle. If the count has reached the maximum limit then the display unit guides the driver to next available parking spot.
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- Counting and Classification of Vehicle Through Virtual Region for Private Parking Solution
Vivek K. Verma
Venkatesh Gauri Shankar
- Springer Singapore
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