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http://repositorio.utfpr.edu.br/jspui/handle/1/660
Título: | Visual attention and novelty detection: experiments with automatic scale selection |
Autor(es): | Nehmzow, Ulrich Vieira Neto, Hugo |
Palavras-chave: | Robôs móveis Redes neurais (Computação) Visão por computador Mobile robots Computer vision Neural networks (Computer science) |
Data do documento: | 2006 |
Câmpus: | Curitiba |
Citação: | NEHMZOW, Ulrich; VIEIRA NETO, Hugo. Visual attention and novelty detection: experiments with automatic scale selection. In: TOWARDS AUTONOMOUS ROBOTIC SYSTEMS, 11., 2006, Guildford. Anais eletrônicos… Guildford, 2006. Disponível em: <http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.61.8433&rep=rep1&type=pdf>. Acesso em: 16 jul. 2013. |
Abstract: | We present experiments with an autonomous inspection robot, whose task was to highlight novel features in its environment using camera images. Experiments were conducted with two different attention mechanisms — saliency map and multiscale Harris detector — and two different novelty detection mechanisms — the Grow-When- Required neural network and incremental PCA. For both mechanisms we compared fixed-scale image encoding with automatically scaled image patches. Results show that using automatic scale selection provides a more efficient representation of the visual input space, but that performance is generally better using a fixed-scale image encoding. |
URI: | http://repositorio.utfpr.edu.br/jspui/handle/1/660 |
ISBN: | 978-0-9553879-0-6 |
Aparece nas coleções: | PCS - Trabalhos publicados em Eventos |
Arquivos associados a este item:
Arquivo | Descrição | Tamanho | Formato | |
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TAROS_Vieira Neto, Hugo_2006.pdf Acesso Restrito | 462,13 kB | Adobe PDF | Visualizar/Abrir |
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