Análise multirresolução de imagens gigapixel para detecção de faces e pedestres
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2023-09-27
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Universidade Federal de Goiás
Resumo
Gigapixel images, also known as gigaimages, can be formed by merging a sequence
of individual images obtained from a scene scanning process. Such images can be
understood as a mosaic construction based on a large number of high resolution
digital images. A gigapixel image provides a powerful way to observe minimal details
that are very far from the observer, allowing the development of research in many
areas such as pedestrian detection, surveillance, security, and so forth. As this image
category has a high volume of data captured in a sequential way, its generation is
associated with many problems caused by the process of generating and analyzing
them, thus, applying conventional algorithms designed for non-gigapixel images in
a direct way can become unfeasible in this context. Thus, this work proposes a
method for scanning, manipulating and analyzing multiresolution Gigapixel images
for pedestrian and face identification applications using traditional algorithms. This
approach is analyzed using both Gigapixel images with low and high density of
people and faces, presenting promising results.
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Citação
FERREIRA, Cristiane B. R. Análise multirresolução de imagens gigapixel para detecção de faces e pedestres. 2023. 102 f. Tese (Doutorado em Ciência da Computação) - Instituto de Informática, Universidade Federal de Goiás, 2023.