"analyzing the behaviors of articulated objects in 3D : applications to human and animals"
Abstract: Recent advancement of depth cameras has opened door to many interesting applications. In this talk, I will discuss our research efforts toward addressing the related tasks of pose estimation, tracking, action and behavior analysis of a range of articulated objects including human and animals from such 3D cameras. In particular, I will talk about our recent Lie group based approach that enables us to tackle these problems under a unified framework. Looking forward, the results could be applied to everyday life scenarios such as natural user interface, behavior analysis and surveillance, gaming, among others.
Bio: Li Cheng is a Principal Investigator in BII, A*STAR, Singapore, where he heads the machine learning for bioimage analysis group. Prior to joining BII, He worked at Statistical Machine Learning group of NICTA, Australia, TTI-Chicago, USA, and University of Alberta, Canada, where he obtained his Ph.D. in Department of Computing Science in 2004. His research expertise is mainly on computer vision and machine learning.
ai seminar series
Amii and the Department of Computing Science host AI Seminars, engaging presentations on topics in the broad field of artificial intelligence. With speakers from the University of Alberta and other world-leading groups, the talks give AI enthusiasts a friendly way of engaging with the latest trends and topics in research and development.
Seminars are open to the public, and no registration is required, though seating is limited and on a first-come-first-served basis. Topics range from foundational theoretical work to innovative applications of artificial intelligence technologies.
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