时间：2014年7月16日（星期三）下午2：30
地点：基础教学楼B座206
题目：Performance Capture from A Single Depth camera
摘要：
Depth cameras are becoming widely available for setup boxes, game consoles, or even cellphones. The real-time dense depth map offers tremendous opportunities for both vision and graphics research. In this talk, I will present my lab’s recent work on human motion modeling and analysis using a single depth camera. Our work focuses on high-quality outcome, both visually and quantitatively.
作者简介
Ruigang Yang is currently a full professor of Computer Science at the University of Kentucky. He obtained his PhD degree from University of North Carolina at Chapel Hill and his MS desire from Columbia University. His research interests span over computer graphics and computer vision, in particular in 3D reconstruction and 3D data analysis. He has published over 100 papers, which, according to Google Scholar, has received close to 6000 citations with an h-index of 37 (as of 2014). He has received a number of awards, including US NSF Career award in 2004 and the Dean’s Research Award in 2013. He is currently an associate editor of IEEE TPAMI and a senior member of IEEE.
时间：2014年7月16日（星期三）下午4：30
地点：基础教学楼B座206
题目：Intelligent Distributed Binary Sensing for Human Activities Perceptions
摘要：
In this talk, I will introduce the underlying mechanism of binary sensing and its applications in human activities perception. The simplest form of sensor data is binary, which represents the presence or absence of energy sources. Binary measurements can contain the geometric and behavioral information of human subjects, such as positions, number of targets, gait, posture, and scenarios. The advantages of binary sensing include (1) high tolerance of low SNR, (2) reduction of data throughput and communication overhead, and (3) enabling a use of multi-modality low-cost sensors. Through binary data analysis and machine learning, various types of the information related to the human activities can be revealed. A series of experiments have demonstrated the advantages of our binary sensing approach.
作者简介：
郝祁博士是南方科技大学电子与电气系的副教授。他于2006年在美国杜克大学获取电子与计算机工程系博士学位，于1997 和1994年在上海交通大学获取电机系硕士和学士学位。他曾于美国肯塔基大学可视化中心进行博士后研究，在美国阿拉巴马大学电子与计算机工程系担任过助理教授。郝祁博士的研究受美国NSF资助。
