Dynamic texture analysis and segmentation using deterministic partially self-avoiding walks

Autor(es)

Goncalves, Wesley Nunes ^[1] ; Bruno, Odemir Martinez ^[1]

Afiliação do(s) autor(es)

^[1] Univ Sao Paulo, IFSC, BR-13560970 Sao Carlos, SP - Brazil

• Tipo de documento: Artigo Científico
• Fonte: EXPERT SYSTEMS WITH APPLICATIONS; v. 40, n. 11, p. 4283-4300, SEP 1 2013.
• Citações Web of Science: 13

Resumo

Dynamic texture is a recent field of investigation that has received growing attention from computer vision community in the last years. These patterns are moving texture in which the concept of self-similarity for static textures is extended to the spatiotemporal domain. In this paper, we propose a novel approach for dynamic texture representation, that can be used for both texture analysis and segmentation. In this method, deterministic partially self-avoiding walks are performed in three orthogonal planes of the video in order to combine appearance and motion features. We validate our method on three applications of dynamic texture that present interesting challenges: recognition, clustering and segmentation. Experimental results on these applications indicate that the proposed method improves the dynamic texture representation compared to the state of the art. (C) 2013 Elsevier Ltd. All rights reserved. (AU)

• Processo FAPESP: 11/01523-1 - Métodos de visão computacional aplicados à identificação e análise de plantas
• Beneficiário: Odemir Martinez Bruno
• Linha de fomento: Auxílio à Pesquisa - Regular
• Processo FAPESP: 10/08614-0 - Análise de texturas estáticas e dinâmicas e suas aplicações em biologia e nanotecnologia
• Beneficiário: Wesley Nunes Gonçalves
• Linha de fomento: Bolsas no Brasil - Doutorado