In this paper, we demonstrate an effective tracking system for moving face and hand objects in real time. Our approach contains of three substages: adaptive background subtraction, face and hand detection using skin color and tracking them with pixels correlations respectively. There are famous robust tracking methods such as mean shift and active shape model in the literature. Despite providin...

Vision-based hand tracking is an important problem in the field of human-computer interaction, since hand motions and gestures could potentially be used to interact with computers in more natural ways. A number of solutions have been proposed in the current literature, but the problem is still far from being solved since the hand exhibits significant amounts of articulation and self-occlusion t...

Applications for home-based care are rapidly increasing in importance due to spiraling health and elderly care costs. An important aspect of home-based care is exercises for rehabilitation and improving general health. In this paper we present a framework for demonstrating and monitoring hand exercises. The three main components are a 3D hand model, a high-level animation framework which facili...

In this paper we use optical flow to initialise step sizes in a stochastic optimisation setting for hand tracking. One can appreciate that most complex hand gestures result in different segments of the hand moving at different speeds. We show that by reflecting this motion difference in our step size initialisation process, the tracking performance can be improved. Significant improvement to tr...

Vision has the great potential to give the computers the ability of collecting information. In this chapter we study the tracking and capturing of 3-D free hand motions by computers. The hand has no markers and no special devices and no special conditions are required. This chapter presents three techniques for the vision-based tracking. The first one is the ICAbased motion analysis. The second...

An understanding of human collaboration requires a level of analysis that concentrates on sensorimotor behaviors in which the behaviors of social partners continually adjust to and influence each other. A suite of individual differences in partners' ability to both read the social cues of others and to send effective behavioral cues to others create dyad differences in joint attention and joint...