Please use this identifier to cite or link to this item:
https://hdl.handle.net/10216/43421
Author(s): | Pedro F. Q. Loureiro Rosaldo J. F. Rossetti Rodrigo A. M. Braga |
Title: | Video Processing Techniques for Traffic Information Acquisition Using Uncontrolled Video Streams |
Issue Date: | 2009 |
Abstract: | This paper reports on the first steps taken in search of a solution that uses public video streams available on the Internet to address the increasing need for monitoring transportation networks with the intent of returning added value to the community, either by allowing a better understanding of the network and its needs or by feeding applications with real-time information for various purposes, such as simulation, decision-making support and updated route guidance. After the introduction of the field, we present our findings from a survey that briefly describes several works with related studies and explain the algorithms that can be adopted to get relevant information from video streams. This is followed by an analysis of the issues that may arise and the best ways to address them. Next it reports on the results achieved so far, draws some conclusions on what has been done and suggests the next steps of our research. |
Subject: | Processamento de imagem, Engenharia electrotécnica, electrónica e informática Image processing, Electrical engineering, Electronic engineering, Information engineering |
Scientific areas: | Ciências da engenharia e tecnologias::Engenharia electrotécnica, electrónica e informática Engineering and technology::Electrical engineering, Electronic engineering, Information engineering |
URI: | https://repositorio-aberto.up.pt/handle/10216/43421 |
Source: | 12th International IEEE Conference on Intelligent Transportation Systems, ITSC'09 |
Document Type: | Artigo em Livro de Atas de Conferência Internacional |
Rights: | openAccess |
License: | https://creativecommons.org/licenses/by-nc/4.0/ |
Appears in Collections: | FEUP - Artigo em Livro de Atas de Conferência Internacional |
This item is licensed under a Creative Commons License