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

• Type: Article in International Conference Proceedings Book
• Date: 2005

Authors

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

Conference proceedings International

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

Pages: 463-466

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

Corinth, GREECE, OCT 21-26, 2005

Indexing

ISI Web of Knowledge - 7 Citations

ISI Web of Science

Scientific classification

FOS: Engineering and technology > Other engineering and technologies

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

Other information

Authenticus ID: 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.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 4