Probabilistic models have been previously shown to be efficient and effective for modeling and recognition of human motion. In particular we focus on methods which represent the h...
Based on recent demonstrations of low-cost, infrared-based point tracking, we explore two-handed, surface-less interaction for presentation. On both hands, thumb and index finger...
Gaussian processes have been widely used as a method for inferring the pose of articulated bodies directly from image data. While able to model complex non-linear functions, they ...
We describe a “bag-of-rectangles” method for representing and recognizing human actions in videos. In this method, each human pose in an action sequence is represented by orien...
A tele-operated system in a robot greatly reduces the demands on the human operator, although some human intervention is still required to perform such tasks as insulator recognit...