| 日 時 | 2017年12月18日 （月） 開場12:30 13:00 ~ 14:30 |
|---|---|
| タイトル | Machine Learning for Human Motion Understanding |
| 場 所 | 早稲田大学 原富太郎記念会議実(63号館 2階 05会議室) （地図） |
| 対象者 | 学生、大学院生、教職員、一般 |
| 参加費 | 無料 |
Machine Learning for Human Motion Understanding
Due to the advancement in human motion capturing technology and the availability of public human motion database, human motion understanding has become a core component of many research problems in multiple research domains. In computer graphics, a good representation of human motion facilitates characters with realistic movement, intuitive ways of crowd controls, and the real-time processing of captured motion data. In computer vision, modelling human motion is a key process for effective action classification and gait analysis. In order to understand human motion represented in different format, machine learning algorithms are adapted to learn a representation of motions, or to extract features of them. In this open lecture, I will discuss the importance of human motion understand in computer science. With the support of my research projects, I will introduce different machine learning algorithms such as lazy learning, dictionary learning and deep learning. I will explain how these algorithms can be used to model human motion in order to solve real-world problem in the computer graphics and computer vision areas as mentioned above. I will show how my projects achieve impact in research and the society, and conclude my presentation with future opportunities and potential research directions. This lecture is suitable for all audiences including those with limited experience in machine learning and visual computing, as well as the professionals in the fields.
Dr. Hubert Shum
プロフィール
香港城市大学において学士課程と修士課程修了後、エディンバラ大学にて博士号を取得。香港城市大学にてリサーチアシスタント、理研にてポスドクリサーチャー、ウスターシャ大学にて講師、ノーザンブリア大学にてシニア講師などを歴任し2016年9月よりノーザンブリア大学准教授（リーダー）就任。
Character animations, Human motion Analysis, Machine Learning, Computer vison等の研究分野で活躍。
