主讲：Dr. Samuel Chang
题目：Overview of Computer Vision and Motion Tracking
时间：12月18日下午14:30-16:00
地点：大学城工学一号馆学术报告厅

摘要：
　　Computer vision is the study of analysis of pictures and videos in order to achieve results similar to those as by men. Thus human vision acts as a lower bound on our ambitions with regard to computational image analysis. The field of computer vision has inspired a large number of researchers in computer science, engineering, mathematics and even though we are still far from achieving this ultimate goal, we have gathered a great amount of work and knowledge in the process and the techniques developed are widely used in the areas such as medical imaging, video surveillance, computer graphics, video compression etc.
　　This introductory overview is designed of audiences' interests in understanding of how a computer sees its surrounding with visual sensors, typically cameras, by processing and understanding of the visual information, or to acquire a general background in issues related to real world perception and computational geometry in robot working environment.
　　It also covers the applications of computer and machine vision in motion measurement and tracking include motion measurement using distributed wireless camera, human motion measurement, human body motion measurement, human head/hand/eyes/nose/face/heart motion measurement, boat and car motion measurement, ground motion measurement and navigation, human interaction motion measurement and machine interaction and control.
　　
　　主讲人简介：
　　Dr. Samuel Chang is a distinguished visiting professor in School of Electrical and Electronics Engineering at Chung-Ang University (CAU) in Korea. He has been a senior scientist in Spatial Integrated Systems (SIS) in the US and a Guest Professor in Xia Men University in China. He was a visiting professor at the Intelligent Systems Research Center (ISRC) at the SungKyunKwan University (SKKU) in Korea, a senior system analyst in National Institute of Health (NIH) and Cambridge Research Associate (CRA). He received his Ph.D. degree from George Mason University (GMU) and his M.S. degree from The Catholic University of America (CUA). His research interests include image processing and understanding, bioengineering, computer and machine vision, target recognition, motion recovery and tracking, 3D modeling, dynamic systems and robotics.
　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　二〇〇七年十二月十四日