Visual Motion Analysis

Lecturer: Ying Wu

5 topics (In about 10 lectures)：

Topic 1 Estimating 2D and 3D Motion from Image Sequences

(Motion field and optical flow; Aperture problem; Locas-Kanade’s method; Dense flow; Horn-Schunck’s method; Parametric flow; Robust flow computation; Flow-based motion segmentation; Generalized PCA; Flow-based 3D motion analysis; Direct methods; Ego motion; Parallax; Multiple view motion analysis; etc.)

Topic 2 Differential Motion Analysis

(Formulation; Singularities; Kernel-based methods; Mean-shift tracking; Support vector machine tracking; Multiple kernel tracking; Multiple collaborative kernel tracking, etc.)

Topic 3 Sequential Monte Carlo Motion Analysis

(Sequential Monte Carlo; Particle filtering; Factored sampling; Importance sampling; Markov chain Monte Carlo; Metropolis-Hastings; etc.)

Topic 4 Capturing Articulated Motion

(Twists and exponential maps; Markov random field; Markov network; Bayesian inference; Belief propagation; non-parametric BP; Probabilistic variational analysis; Mean-field variation; Mean-field Monte Carlo; Variational maximum a posteriori; etc.)

Topic 5 Tracking Multiple Targets

(Coalescence; Occlusions; Data association; Joint state space; Probabilistic data association filtering; Joint probabilistic data association filtering; Decentralized tracking; Tracking a variable number of targets; MCMC tracking; RJ-MCMC tracking; etc.)

Brief Bio

    Ying Wu received his Ph.D. degree in electrical and computer engineering from the University of Illinois at Urbana-Champaign (UIUC) in 2001. Before he came to this inspiring corn field, he received his M.S. in automation department from Tsinghua University, Bejing, China, in 1997, and his B.S. in automatic control from Huazhong University of Science and Technology (HUST), Wuhan, China, in 1994, respectively.

    He has been an assistant professor in the Department of Electrical and Computer Engineering at Northwestern University since 2001. Before he joined Northwestern, he was a research assistant of Professor Thomas S. Huang at the Image Formation and Processing (IFP) group of the Beckman Institute for Advanced Science and Technology and Department of Electrical and Computer Engineering at UIUC from 1997 to 2001. During the summer 1999 and 2000, he was a Research Intern with the Vision Technology Group, Microsoft Research Corp., Redmond, WA. His current research interests include computer vision/graphics, image/video processing, multimedia, machine learning, human motion, human-computer intelligent interaction, and virtual environments, etc.

    He is a recipient of the National Science Foundation (NSF) CAREER award. He received the Robert T. Chien Award at UIUC in 2001. When he was in Tsinghua, he was awarded a Schneider Fellowship and a Guanghua Fellowship in 1996 and 1995 respectively. He was honored as an Outstanding Undergraduate in HUST in 1994, and a recipient of the Excellent Student Scholarships from 1990 to 1994.