Efficient approximation of the mahalanobis distance for tracking with the Kalman filter

• Type: Article in International Conference Proceedings Book
• Date: 2007

Authors

Raquel R. Pinho (Author) Other; João Manuel R. S. Tavares (Author) FEUP; Miguel V. Correia (Author) FEUP

Conference proceedings International

Title: Computational Modelling of Objects Represented in Images: Fundamentals, Methods and Applications

Pages: 349-354

International Symposium CompIMAGE 2006

Coimbra, Portugal, 20-21 October, 2006

Indexing

ISI Web of Knowledge - 0 Citations

ISI Web of Science

Scopus - 5 Citations

Scientific classification

FOS: Natural sciences > Computer and information sciences

CORDIS: Technological sciences > Engineering ; Technological sciences > Technology > Computer technology

Other information

Authenticus ID: P-004-CTS

Abstract (EN): We address the problem of tracking efficiently feature points along image sequences. 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. In this paper measured data is incorporated by optimizing the global correspondence set based on efficient approximations of the Mahalanobis distances (MD). We analyze the difference between using the MD and its efficient approximation in the tracking results, and examine the related computational costs. Experimental results which validate our approach are presented.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 6