Estimação de velocidade de composições usando processamento de vídeo

• Ano de defesa: 2011
• Autor(a) principal: Viana, Evelyn da Silva
• Orientador(a): Lovisolo, Lisandro
• Banca de defesa: Velloso, Maria Luiza Fernandes , Leite, Karla Tereza Figueiredo , Ciancio, Alexandre Gomes
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade do Estado do Rio de Janeiro
• Programa de Pós-Graduação: Programa de Pós-Graduação em Engenharia Eletrônica
• Departamento: Centro de Tecnologia e Ciências::Faculdade de Engenharia
• País: BR
• Palavras-chave em Português: Detecção de movimento; Estimação de movimento; SAD; Velocidade do trem
• Palavras-chave em Inglês: Motion detection; Motion estimation; SAD; Train velocity; Vehicle speed measurement
• Área do conhecimento CNPq: CNPQ::ENGENHARIAS
• Link de acesso: http://www.bdtd.uerj.br/handle/1/11772

This dissertation aims to study a method of estimating the speed of railway vehicles using video processing. The proposed system uses cameras disposed alongside railways to monitor traffic as well as estimate train speeds. Such a system would allow the machinist to have a backup control system, regardless of the control systems already used by the operator of the rail system. In this dissertation, tracking algorithms with different methods are discussed. By comparing results obtained with the proposed algorithm and results from empirical data, it was possible to determine the one that best provided the desired results given the characteristics of the system. The algorithm which presented the best results was the one that employs a single block for all reference frames compared. The metric of similarity used for determining which blocks are most similar within the searched universe is the sum of absolute differences (SAD). The processing time required by each of the screening methods studied was also considered in assessing the results presented. A comparison between the rates collected and those informed by the control system showed that the results obtained with the current system, which only uses the signal track circuit, provides unreliable results with very significant errors. The results obtained with the proposed system had errors smaller than those obtained with the current system, suggesting the proposed system is viable and cost-effective compared to currently employed techniques.