We propose a novel unsupervised learning algorithm to extract the layout of an image by learning latent object-related aspects. Unlike traditional image segmentation algorithms th...
Abstract. We present a framework for vision-assisted tagging of personal photo collections using context. Whereas previous efforts mainly focus on tagging people, we develop a uni...
— This paper describes a 1,000Hz visual feedback using the CMOS+FPGA vision. It is required to obtain positional and angular signals around 1,000Hz to control a mechanical system...
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...
This paper presents a real-time algorithm that allows robust tracking of multiple objects in complex environments. Foreground pixels are detected using luminance contrast and grou...