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

• Type: Article in International Scientific Journal
• Date: 2007

Authors

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

Journal

Title: International Journal of Simulation Modelling

Vol. 6 No. 2

Pages: 84-92

ISSN: 1726-4529

Publisher: DAAAM INTERNATIONAL VIENNA

Indexing

Scopus - 7 Citations

INSPEC

Scientific classification

CORDIS: Technological sciences > Engineering

Other information

Authenticus ID: 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.

Language: English

Type (Professor's evaluation): Scientific