Publication: Applied integral intensity projection to find the numbers of the parking spots
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Issued Date
2017
Resource Type
File Type
application/pdf
Other identifier(s)
2-s2.0-85017517092
Rights Holder(s)
Scopus
Bibliographic Citation
2017 9th International Conference on Knowledge and Smart Technology: Crunching Information of Everything, KST 2017. (2017), p.328-331
Suggested Citation
Choorat P., Thepsathit B., Kaosaiyananda V., Charoensuk A., Klimanee C., Moungkhaodaeng A. Applied integral intensity projection to find the numbers of the parking spots. 2017 9th International Conference on Knowledge and Smart Technology: Crunching Information of Everything, KST 2017. (2017), p.328-331. doi:10.1109/KST.2017.7886114 Retrieved from: https://hdl.handle.net/20.500.14740/4211
Abstract
The automatic parking system using an integral intensity projection is important in order to reduce the time spend for finding an available parking space. We applied the intensity projection and peak detection approaches to find the number and location of the parking space from a parking lot image. The parking lot image is firstly applied the integral projection in order to sum and smooth intensity projection of this image in a horizontal direction. After that the image is segmented into the region of interest (ROI) image by using the location object's edges derived from a derivative method. Then the integral intensity projection is again utilized the maximum points in vertical direction of the image intensity summation. Finally, the number of parking spots were counted by using peak detection approach. In the experimental results, the accuracy for counting the number of cars in the parking lot image is 53.03%. © 2017 IEEE.