This paper proposes a method for detecting parking space occupancy using image detection, which serves as an alternative to currently used solutions. All presented methods are based on images obtained from video cameras.
Cameras recording images continuously are quite common. Even low-quality images can be used for continuous monitoring of parking zones. Consequently, the costs incurred for purchasing a detector can be negligible. Vision systems can provide a wealth of information, not just about parking space occupancy. To obtain such information, appropriate image analysis must be applied. This paper presents a method for detecting parking space occupancy. This method utilizes motion masks as elements enabling analysis, as a motion mask provides a great deal of information regarding a moving object, such as change in position, velocity, acceleration, as well as the movement of the object out of the scene frame. This information can be used to study other traffic parameters of parking vehicles.
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Source: Logistyka Magazine
Keywords: video surveillance, parking space occupancy control. – PDF file for download