An efficient and robust tracking system using Kalman Filter

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2006

Autores

Raquel Ramos Pinho (Autor) FEUP; João Manuel Ribeiro da Silva Tavares (Autor) FEUP; Miguel Fernando Paiva Velhote Correia (Autor) FEUP

Ata de Conferência Internacional

Título: VIPSI-2006 VENICE

Página Inicial: 8 p

VIPSI-2006 VENICE – VIP Symposia on Internet related research with elements of M+I+T++

Venice, Italy, October 12 to 15, 2006

Classificação Científica

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

CORDIS: Ciências Tecnológicas > Engenharia > Engenharia de controlo

Outras Informações

ID Authenticus: P-010-V5N

Abstract (EN): In this paper we address the problem of tracking features efficiently and robustly along image sequences. To estimate the undergoing movement we use an approach based on Kalman filtering. The measured data is incorporated by optimizing the global correspondence set based on an efficient approximation of the Mahalanobis Distance (MD). Along the image sequence, to deal with the incoming and previously existing features a new management model is considered, so that each occluded feature may be kept on tracking or it may be excluded depending on its historical behavior. This approach handles adequately occlusion, disappearance and (re)appearance of features while tracking efficiently movement in the image scene. It also allows feature tracking in long sequences at low computational cost. Some experimental results are presented.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 8