Abstract:
With increasing the number of vehicles over the years, parking has become an important issue
particularly in commercial environments such as shopping malls, schools, government offices, and
airports. Finding a vacant parking space in town areas is time-consuming and therefore not
satisfying for potential visitors or customers. In this article, a low-cost video-based system is
proposed for parking space detection. A CCTV feed is used in combination with a desktop
computer for computation. Different feature extractors and computer vision algorithms were
evaluated in order to retrieve accurate state information for each of the observed parking space.
Combination of feature extractors and classifiers were found which properly solved the given task.
The output is offered for the parking lot users through an android app with real-time feedings.
