Efficient Approximation of the Mahalanobis Distance for Tracking with the Kalman Filter

• Tipo: Artigo em Revista Científica Internacional
• Data: 2007

Autores

R. R. Pinho (Autor) FEUP; J. M. R. S Tavares (Autor) FEUP; M. F. V. Correia (Autor) FEUP

Revista

Título: International Journal of Simulation Modelling

Vol. 6 Nº 2

Páginas: 84-92

ISSN: 1726-4529

Editora: DAAAM INTERNATIONAL VIENNA

Indexação

Scopus - 7 Citações

INSPEC

Classificação Científica

CORDIS: Ciências Tecnológicas > Engenharia

Outras Informações

ID Authenticus: P-009-VVC

DOI: 10.2507/IJSIMM06(2)S.03

Abstract (EN): In this paper, we address the problem of tracking feature points along image sequences efficiently. Thus, to estimate the undergoing movement we use an approach based on Kalman filtering, which performs the prediction and correction of the features¿ movement in every image frame. Measured data is incorporated by optimizing the global association set built on efficient approximations of the Mahalanobis distance (MD). We analyze the difference between the usage in the tracking results of the original MD formulation and its more efficient approximation, as well as the related computational costs. Experimental results which validate our approach are presented.

Idioma: Inglês

Tipo (Avaliação Docente): Científica