A Movement Tracking Management Model with Kalman Filtering, Global Optimization...

• Author(s): Raquel Pinho ; João Manuel Ribeiro Silva Tavares ; Miguel Fernando Paiva Velhote Correia
• Date: 2005
• Persistent ID: http://hdl.handle.net/10216/237
• Origin: Repositório Aberto da Universidade do Porto
• Subject(s): Ciências tecnológicas; Engenharia , Ciências tecnológicas; Tecnologia; Tecnologia de computadores; Processamento de imagem
• Document Type: Conference Object
• Language: Portuguese

Description

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.