Pattern Recognition

A wealth of advanced pattern recognition algorithms are emerging from the interdiscipline between technologies of effective visual features and the human-brain cognition process. Effective visual features are made possible through the rapid developments in appropriate sensor equipments, novel filter designs, and viable information processing architectures. While the understanding of human-brain cognition process broadens the way in which the computer can perform pattern recognition tasks. The present book is intended to collect representative researches around the globe focusing on low-level vision, filter design, features and image descriptors, data mining and analysis, and biologically inspired algorithms. The 27 chapters coved in this book disclose recent advances and new ideas in promoting the techniques, technology and applications of pattern recognition

Visual system for tracking and interpreting selected human actions

This paper describes an autonomous vision system for realization of tasks consist of following a person with a mobile robot as well as interpreting some static and dynamic commands signaled by hand. Detection of the person is realized on the basis of color image segmentation combined with stereovision analysis. The elaborated algorithms of face detection and localization improves quality of tracking as well as makes possible to recognize some nonverbal commands using geometrical relations of face and hands and in particular to recognize the pointing arm-posture