Sumarização Automática de Cenas Forenses

• Ano de defesa: 2015
• Autor(a) principal: Borges, Erick Vagner Cabral de Lima
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal da Paraíba; Brasil; Informática; Programa de Pós-Graduação em Informática; UFPB
• Palavras-chave em Português: Computação forense; Sumarização; Visão computacional.; Forensic computing; Video summarization; Computational vision.; CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO
• Link de acesso: https://repositorio.ufpb.br/jspui/handle/tede/7843

The growing presence of video recording devices in several areas are providing an increase in use these images mainly to investigative purposes. This makes the use of methods and tools that perform the analysis and the automatic monitoring of environments are increasingly needed to provide technical support and knowledge to investigators, enabling obtain efficient and effective results. This work describe the development of computational vision methods that aim extract some features of scenes. At the end of this extraction, a summarization tool of forensic scenes through the developed methods is proposed. The methods proposed aim to detect and analyze motion in scenes, detect faces classifying them through the gender recognition, recognize people through facial recognition, perform the tracking of human faces and pattern recognition of predominant color in the clothing of individuals. At the end of this work, developed methods presented results comparable to the ones found in the literature and may contribute to the fast extraction of information needed for human analysis, to assist in the interpretation and argumentation of cases and documenting the results.