AIML Special Presentation: ARC Discovery Project on Hyperspectral Video Tracking

Abstract: Video tracking is a fundamental AI technology with more than 100 billion dollars market values. Traditional tracking models based on colour or grayscale videos have inherent limitations in detecting and tracking objects. Focused on challenging scenarios faced by conventional camera systems, this research in the past five years harnesses the capability of hyperspectral video cameras in material identification within and beyond the visible spectrum to capture and model the spectral, spatial, and temporal information for object tracking. This talk gives an overview of hyperspectral imaging technology and how it is used to develop hyperspectral tracking methods, which form the foundation of a recently funded ARC Discovery Project.

Bio: Jun Zhou is a Professor and Deputy Head of School for the School of ICT at Griffith University, Australia. He received his Ph.D. degree from the University of Alberta, Canada, in 2006. Before joining Griffith University, he had taken research positions at the Australian National University and NICTA. His research interests include pattern recognition, hyperspectral imaging and computer vision with their applications to remote sensing, environment, agriculture and medicine. He was awarded the Australian Research Council Discovery Early Career Researcher Award in 2012. Prof. Zhou has published more than 300 papers in leading image processing, computer vision and remote sensing journals and conferences. He is an associate editor of five international journals, including IEEE TGRS and Pattern Recognition. He is the President of the Australian Pattern Recognition Society.