Utilize este identificador para referenciar este registo: http://hdl.handle.net/10198/4427
Título: Computer analysis of objects’ movement in image sequences: methods and applications
Autor: Tavares, João Manuel R.S.
Carvalho, Fernando
Oliveira, Francisco
Reis, Ilda
Vasconcelos, Maria João M.
Gonçalves, Patrícia
Pinho, Raquel
Ma, Zhen
Palavras-chave: Image segmentation
Movement tracking and Analysis,
Matching, templates
Deformable models
Point distribution models
Level set methods
Kalman filter
Data: 2009
Citação: Tavares, João Manuel R. S.; Carvalho, Fernando; Oliveira, Francisco; Reis, Ilda; Vasconcelos, Maria João M.; Gonçalves, Patrícia; Pinho, Raquel; Ma, Zhen (2009) - Computer analysis of objects’ movement in image sequences: methods and applications. International Journal for Computational Vision and Biomechanics. ISSN 0973-6778. 1:2, p. 209-220
Resumo: Computer analysis of objects’ movement in image sequences is a very complex problem, considering that it usually involves tasks for automatic detection, matching, tracking, motion analysis and deformation estimation. In spite of its complexity, this computational analysis has a wide range of important applications; for instance, in surveillance systems, clinical analysis of human gait, objects recognition, pose estimation and deformation analysis. Due to the extent of the purposes, several difficulties arise, such as the simultaneous tracking of manifold objects, their possible temporary occlusion or definitive disappearance from the image scene, changes of the viewpoints considered in images acquisition or of the illumination conditions, or even nonrigid deformations that objects may suffer in image sequences. In this paper, we present an overview of several methods that may be considered to analyze objects’ movement; namely, for their segmentation, tracking and matching in images, and for estimation of the deformation involved between images.
Peer review: yes
URI: http://hdl.handle.net/10198/4427
ISSN: 0973-6778
Aparece nas colecções:DEMAT - Artigos em Revistas Não Indexados ao ISI/Scopus

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