Tracking features along image sequences is a Computer Vision problem which has evolved considerably in the last years. In fact, improvements have been made to try overcome difficult and ambiguous situations generated by cluttered backgrounds, occlusions, large geometric deformations, illumination variation or noisy data [1, 2]. On the other hand, with better computational and imaging resources, and the consider...
This work addresses the problem of tracking feature points along image sequences. In order to analyze the undergoing movement, an approach based on the Kalman filtering technique has been used, which basically carries out the estimation and correction of the features’ movement in every image frame. So as to integrate the measurements obtained from each image into the Kalman filter, a data optimization pro...
In this paper we present a management model to deal with the problem of tracking missing features during long image sequences using Computational Vision. Some usual difficulties related with missing features are that they may be temporarily occluded or might even have disappeared definitively, and the computational cost involved should always be reduced to the strictly necessary. The proposed Net Present Value ...
Neste artigo propomos uma metodologia física e estocástica que permite seguir o movimento de objectos em imagens, possibilita o seu emparelhamento e a simulação temporal das deformações sofridas. A componente estocástica da metodologia recorre ao filtro de Kalman para fazer o seguimento do centróide e orientação principal dos objectos seguidos (componente rígida da deformação). Entre cada etapa previsão/correcç...
In this paper, is presented a methodology to estimate the deformation involved between two objects attending to its physical properties. The methodology referred can be used, for example, in Computational Vision or Computer Graphics applications, and consists in physically modeling the objects, by means of the Finite Elements Method, establishing correspondences between some of its data points, by using Modal M...
This paper addresses the problem of tracking feature points along image sequences to analyze the undergoing human movement. An approach based on Kalman filtering performs the estimation and correction of the feature point’s movement in every image frame, and optimizes the incorporation of the measured data in order to establish the best global correspondence. We propose a criterion to establish correspond...
Financiadores do RCAAP | |||||||
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |