Analyzing and managing the slot occupancy of car parking by exploiting vision-based urban surveillance networks

Abstract

In this paper, we present an approach for the analysis of parking slots by exploiting urban surveillance networks. This work has been developed in a project which aims to facilitate to the car drivers the access to available car parking slots. This paper describes a framework that exploits video streams provided by urban networks of cameras. The objective is to remotely determine the occupancy status of parking slots. Besides, the paper presents a case study and a discussion about a broadcasting strategy that could be used to share the positions of identified vacant parking slots with drivers searching an available parking slot.