Short biography
Frederick Tung received the MASc degree in systems design engineering from the University of Waterloo in 2010. His research interests lie in computer vision, image processing, and pattern recognition; his current projects include image segmentation,motion estimation,and behaviour and scene analysis for intelligent surveillance.
Supervisors
Research interests
Fred's research interests lie in computer vision, image processing, and pattern recognition; his current projects include image segmentation, motion estimation, and behaviour and scene analysis for intelligent surveillance. He is currently completing a PhD at the University of British Columbia.
Research topics
Publications
Journal articles
Kumar, A., F. Tung, A. Wong, and D. A. Clausi, "A decoupled approach to illumination-robust optical flow estimation
",IEEE Transactions on Image Processing, 2013. Details
Tung, F., J. S. Zelek, and D. A. Clausi, "Goal-based trajectory analysis for unusual behaviour detection in intelligent surveillance", Image and Vision Computing, vol. 29, issue 4, pp. 230 - 240, 2011. Details
Tung, F., A. Wong, and D. A. Clausi, "Enabling scalable spectral clustering for image segmentation", Pattern Recognition, vol. 43, New York, NY, USA, Elsevier Science Inc., pp. 4069–4076, 2010. Details
Conference papers
Tung, F., J. S. Zelek, and D. A. Clausi, "Efficient target recovery using STAGE for mean-shift tracking", 6th Canadian Conference on Computer and Robot Vision, Kelowna, British Columbia, Canada, February, 2009. Details
Tung, F., and A. Wong, "Polynomial self-similarity for object classification", IEEE International Conference on Multimedia and Expo, 2003. Details
Theses
Tung, F., "Goal-Based Trajectory Analysis for Unusual Behaviour Detection in Intelligent Surveillance", Department of Systems Design Engineering, Waterloo, Ontario, Canada, University of Waterloo, 2010. Details
