Particle filter is a powerful algorithm to deal with non-linear and non-Gaussian tracking problems. However the algorithm relying only upon one image cue often fails in challengin...
We propose a two-step method for detecting human heads and estimating face orientations under the dynamic environment. In the first step, the method employs an ellipse as the cont...
Abstract. In this paper new results are presented for tracking complex multi-body objects. The theoretical framework is based on robotics techniques and uses an a-priori model of t...
We describe a robust real-time 3D tracking system of the extreme limbs of the upper human body, i.e., the hands and the face. The goal of the system is that it can be used as a per...
Jose Maria Buades Rubio, Francisco J. Perales L&oa...
Today in many applications the study of human movement using a computer vision and graphics techniques is very useful. One of these applications is the three-dimensional reconstruc...
Jose Maria Buades Rubio, Francisco J. Perales L&oa...
This paper presents a technique to enable deformable objects to be matched throughout video sequences based on the information provided by the multi-scale local histograms of the i...
In many product areas, a growing trend can be observed towards variant design, i.e. the development of customized designs based on variations of mature product models. We have deve...
In this paper, a method for image deformation is presented. It is based upon decomposition of the deformation problem into basic physical laws. Unlike other methods that solve a di...
Abstract. The paper presents an approach for matching objects in dynamic pedobarography image sequences, based on finite element modeling and modal analysis. The determination of c...
We present a method to solve the human silhouette tracking problem using 18 major human points. We used: a simple 2D model for the human silhouette, a linear prediction technique f...