This paper discusses the motion estimation problem of a rigid-body using a zoom camera via observations of a single feature point. Both the rotational and translational parameters are assumed to be unknown constants. Estimation of the unknown parameters is obtained in two steps. In the first step, the camera’s focal length is fixed and the rotational parameters can be estimated. In the second s...

Motion parameters estimation is performed by using the local polynomial periodogram. The presented method provides the estimation of velocity and acceleration, simultaneously. It is appropriate for the motion parameters estimation in noisy sequences. Theoretical considerations are illustrated by numerical examples.

This paper addresses the issue of 3-D motion estimation in model-based facial image coding. A new approach to estimating the motion of the head and the facial expressions is presented and has the following characteristics: 1) An affine nonrigid motion model is set up. The specific knowledge about facial shape and facial expression is formulated by this model in the form of parameters. This affi...

Body movements are crucial for emotion expression of a virtual agent. However, the perception of expressiveness of an animation has always been a subjective matter. Research in psychology has asked professional actors to perform emotional motions to study how body gestures deliver emotions [2]. In this work, we aim to design an animation system that can generate human body motions in a more sys...

In this paper, we present a new technique for longterm global motion estimation of image objects. The estimated motion parameters describe the continuous and time-consistent motion over the whole sequence relatively to a fixed reference coordinate system. The proposed method is suitable for the estimation of affine motion parameters as well as for higher order motion models like the parabolic m...

Localization is the problem of determining a robot’s location in an environment. Monte Carlo Localization (MCL) is a method of solving this problem by using a partially observable Markov decision process to find the robot’s state based on its sensor readings, given a static map of the environment. MCL requires a model of each sensor in order to work properly. One of the most important sensors i...

This paper describes a new approach to the problem of motion estimation for the coding of image sequences. The goal is to obtain an eecient description (parametrization) of temporal variations between two successive images in a sequence. To achieve this we propose to use the standard hypothesis of luminance constancy along a motion trajectory simultaneously introducing a polynomial representati...

Human motion capture is a promising technique for the generation of humanoid robot motions. To convert human motion into humanoid robot motion, we need to relate the humanoid robot kinematics to the kinematics of a human performer. In this paper we propose an automatic approach for scaling of humanoid robot kinematic parameters to the kinematic parameters of a human performer. The kinematic mod...

In this paper we present a new technique for the long-term global motion estimation of image objects. The estimated motion parameters describe the continuous and time-consistent motion over the whole sequence relatively to a fixed reference coordinate system. The proposed method is suitable for the estimation of affine motion parameters as well as for higher-order motion models like the parabol...

This work investigates the propagation of errors from the camera motion to the epipolar constraint. A relation between the perturbation of the motion parameters and the error in the epipolar constraint is derived. Based on this relation, the sensitivity of the motion parameters to the epipolar constraint is characterised, and a constraint on the allowed perturbation in a motion parameter in res...