Vehicle detection system and tracking availability in a parking lot

Abstract

This thesis is dedicated to the implementation of machine vision algorithms for monitoring parking availability. The system allows to detect and track vehicles in the parking lot, which functionality can be further extended such as empty space detection and possibility of reservation. It tracks the availabil-ity based on an analysis of image frame from the outdoor camera and marking the vehicles in the occu-pied places.

The designed system harnesses the powerful modularity of the C++ language and the OpenCV machine vision framework. For the user interface the Qt creator was used. The system was created using the 4.5.2 version of Qt creator and 3.4.1 version of OpenCv library. It was initially developed on Linux OS machine.