Método para extração de objetos de uma imagem de referência estática com estimativa das variações de iluminação
Video 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 backgr...
| Autor principal: | OLIVEIRA, Jozias Parente de |
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| Grau: | Tese |
| Idioma: | por |
| Publicado em: |
Universidade Federal do Pará
2016
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| Assuntos: | |
| Acesso em linha: |
http://repositorio.ufpa.br/jspui/handle/2011/7180 |
| Resumo: |
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Video 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. |