Computer-Vision-based surveillance of Intelligent Transportation Systems

• Autor(a) principal: João Francisco Carvalho Neto
• Data de Publicação: 2017
• Tipo de documento: Dissertação
• Idioma: eng
• Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
• Texto Completo: https://repositorio-aberto.up.pt/handle/10216/107053
• topic: Engenharia electrotécnica, electrónica e informática; Electrical engineering, Electronic engineering, Information engineering

In this project we tackle the problem of surveillance camera images processing at the Porto Operational Control Center, using state-of-the-art algorithms to detect events of interest automatically. The result of the work will be integrated in a framework being developed at LIACC that will process the video from capture to storage. Since the problems of vehicle and pedestrian detection are hot research topics we will need to implement the best algorithms as of now and build the framework to allow us to update the algorithms in the future.This implementation has however, a series of challenges as cameras have different resolutions and settings as well as not being static, being moved according to the operator commands. Most of the cameras are exposed to the weather, which can deteriorate the performance of the detection algorithms. It is then needed to perform some extra operations to mitigate these issues, such as noise, rain and shadow removal methods. If we manage to overcome these issues and present an application that can effectively detect the desired events, the Control Center will have another tool to even more productively monitor the city.