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The user interaction solution described in this paper was developed in the context of an Intelligent Shop Window (ISW) with an aim to offer a user the interaction solution where system response would be triggered by naturally gazing at products. We have an ...
The user interaction solution described in this paper was developed in the context of an Intelligent Shop Window (ISW) with an aim to offer a user the interaction solution where system response would be triggered by naturally gazing at products. We have an ...
The articulated body models used to represent human motion typically have many degrees of freedom, usually expressed as joint angles that are highly correlated. The true range of motion can therefore be represented by latent variables that span a low-dimen ...
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Due to its intrinsic complexity. full-body postural input has been Mostly limited to off-line motion capture and to on-line Puppetry of a virtual character with little interaction with its environment (e.g. floor). The motion capture technology is now matu ...
Design, study, and control of mixed animals-robots societies is the field of scientific exploration that can bring new opportunities for study and control of groups of social animals. In the Chicken Robot project we develop a mobile robot, socially accepta ...
The contribution of this paper is two-fold. First, we show how to extend the ESM algorithm to handle motion blur in 3D object track- ing. ESM is a powerful algorithm for template matching-based tracking, but it can fail under motion blur. We introduce an i ...
The implementation of an image-based sensor device able to track people in an indoor environment is presented. The primary objective of this paper is to prove the feasibility of a sensor capable of sub-metre level tracking accuracy and costing approximatel ...
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We present a multi-cue fusion method for tracking with particle filters which relies on a novel hierarchical sampling strategy. Similarly to previous works, it tackles the problem of tracking in a relatively high-dimensional state space by dividing such a ...
In this paper, a fast and an effective multi-view face tracking algorithm with head pose estimation is introduced. For modeling the face pose we employ a tree of boosted classifiers built using either Haar-like filters or Gauss filters. A first classifier extra ...
In this paper, a fast and effective multi-view face tracking algorithm with head pose estimation is introduced. For modeling the face pose, we employ a tree of boosted classifiers built using either Haar-like filters or Gauss filters. A first classifier ex ...