camPark: An Automated Car Parking Space Monitoring System using Image Analysis based on Ellipse Fitting Model


Authors : Jocelyn Barbosa, Charissa Mae Alsonado, Chantal Claire Teng, Angel Pepito, Cherry May Parajis.

Volume/Issue : Volume 3 - 2018, Issue 12 - December

Google Scholar : https://goo.gl/DF9R4u

Scribd : https://goo.gl/A6XhhN

Thomson Reuters ResearcherID : https://goo.gl/KTXLC3

Parking space availability monitoring problem has become prevalent nowadays. Most of the malls or public areas do not have an automated system for car park space monitoring, which causes drivers to spend more time and effort circling around just to check by inspection the parking space availability. Moreover, drivers may resort to nearby illegal area for parking. In order to mitigate problems such as these, camPark, an automated car parking space detection system, is proposed in this study. The study lays emphasis on parking cars in a mall’s parking area. In the proposed system, the availability of parking spaces is recognized or detected through image analysis leveraging the advantage of ellipse fitting model. This also includes specifying number of available spaces for car parking. Upon receipt of request, the system searches for an available space through image capture and analysis. Experiments reveal that our proposed approach demonstrates efficiency and can be very beneficial to the drivers.

Keywords : Ellipse Fitting Model, Automatic Parking Space Detection, Parking Space Management, Parking Space Monitoring System.

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