2016-12-192016-12-192009-12-04OLIVEIRA, Jozias Parente de. Método para extração de objetos de uma imagem de referência estática com estimativa das variações de iluminação. 2009. 171 f. Orientador: Raimundo Carlos Silvério Freire; Coorientador: Evaldo Gonçalves Pelaes. Tese (Doutorado em Engenharia Elétrica) - Instituto de Tecnologia, Universidade Federal do Pará, Belém, 2009. Disponível em: http://repositorio.ufpa.br/jspui/handle/2011/7180. AScesso em:.https://repositorio.ufpa.br/handle/2011/7180Video segmentation is a fundamental step in many vision systems including video surveillance and traffic monitoring. Background subtraction is a method typically used to segment moving regions in video sequences taken from a static camera by comparing each new frame to a model of the scene background. In this paper, a hardware system for video segmentation is proposed from algorithm to hardware architecture level. The video segmentation algorithm is aimed at fixed-point operations and improves a Gaussian background model by applying a two-stage linear compensation procedure to remove the undesirable subtraction results from noise and illumination changes. First, the algorithm was validated in MATLAB. Then, it was prototyped on an Altera field-programmable gate array platform (DE-2). At a clock rate of 100 MHz, the architecture can process 30 frames per second, where the image resolution is 640 x 507 pixels. The capability of the system is demonstrated for several video sequences.Acesso AbertoSegmentação de vídeoFPGAs (Arranjos de Lógica Programável em Campo)Tempo realDetecção de objetosPprocessamento de imagemVideo segmentationFPGA (Field Programmable Gate Array)Real timeObject detectionImage processingTeseCNPQ::ENGENHARIAS::ENGENHARIA ELETRICA::TELECOMUNICACOES::SISTEMAS DE TELECOMUNICACOES