A multi-camera solution for counting vehicles on the edge

Smart mobility applications, such as intelligent parking and road traffic management, are nowadays widely employed worldwide, making our cities more livable, bringing benefits to our lives, reducing costs, and improving energy usage. We propose a multi-camera system to automatically count vehicles in a parking lot using images captured by smart cameras. Unlike most of the literature on this task, which focuses on the analysis of single images, this paper proposes the use of multiple visual sources to monitor a wider parking area from different perspectives. Experiments show that our solution is robust, flexible, and can benefit from redundant information from different cameras while improving overall performance.