A movement tracking management model with Kalman filtering, global optimization techniques and Mahalanobis distance

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2005

Autores

Raquel R. Pinho (Autor) Outra; João Manuel R. S. Tavares (Autor) FEUP; Miguel V. Correia (Autor) FEUP

Ata de Conferência Internacional

Título: Advances in Computational Methods in Sciences and Engineering 2005, Vols 4 A & 4 B

Páginas: 463-466

International Conference on Computational Methods in Sciences and Engineering (ICCMSE 2005)

Corinth, GREECE, OCT 21-26, 2005

Indexação

ISI Web of Knowledge - 8 Citações

ISI Web of Science

Classificação Científica

FOS: Ciências da engenharia e tecnologias > Outras ciências da engenharia e tecnologias

CORDIS: Ciências Tecnológicas > Tecnologia > Tecnologia de computadores > Processamento de imagem ; Ciências Tecnológicas > Engenharia

Outras Informações

ID Authenticus: P-000-53W

Abstract (EN): In this paper we address the problem of tracking feature points along image sequences. To analyze the undergoing movement we use a common approach based on Kalman filtering which performs the estimation and correction of the feature point's movement in every image frame. The criterion proposed to establish correspondences, between the group of estimates in each image and the new data to include, minimizes the global matching cost based on the Mahalanobis distance. In this paper, along with the movement tracking, we use a management model which is able to deal with the occlusion and appearance of feature points and allows objects tracking in long sequences. We also present some experimental results obtained that validate our approach.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 4