【2010-12-27】Learn to Infer Human Attention

Poster:Post date:2010-12-25

Title: Learn to Infer Human Attention
Speaker:Prof Ming-Husan Yang
(University of California, Merced)
Time: 15:30-16:20, Dec 27 (Mon), 2010
Place: Room 102, CSIE Building


I will present some results on real-time head pose estimation and human detection. For head pose estimation, I will describe a new Gaussian Process (GP) inference algorithm, called Online Sparse Matrix Gaussian Processes (OSMGP), and demonstrate its merits by applying it to the problems of head pose estimation and visual tracking.  The OSMGP is based on the observation that for kernels with local support, the Gram matrix is typically sparse. Maintaining and updating the sparse Cholesky factor of the Gram matrix can be done efficiently using Givens rotations. This leads to an exact, online algorithm whose update time scales linearly with the size of the Gram matrix. Further, we provide a method for constant time operation of the OSMGP using matrix downdates. The downdates maintain the Cholesky factor at a constant size by removing certain rows and columns corresponding to discarded training examples. We demonstrate that, using these matrix downdates, online hyperparameter estimation can be included at cost linear in the number of total training examples. We describe a robust appearance-based head pose estimation system based on the OSMGP. 

Ming-Hsuan Yang is an assistant professor in EECS at University of California, Merced. He received the PhD degree in computer science from University of Illinois at Urbana-Champaign in 2000. Prior to joining UC Merced, he was a senior research scientist at Honda Research Institute working on vision problems related to humanoid robots. In 1999, he received the Ray Ozzie fellowship for his research work. He coauthored the book Face Detection and Gesture Recognition for Human-Computer Interaction_ _(Kluwer Academic 2001) and is one of the guest editors for a special issue on face recognition for Computer Vision and Image Understanding, 2003 as well as a special issue on real-world face recognition for IEEE Transactions on Pattern Analysis and Machine Intelligence, 2011. He serves in different capacities for a few conferences (area chair for ICCV 2011, AAAI 2011, FG 2011, ACCV 2010, CVPR 2009, ACCV 2009, CVPR 2008, and publication chair for CVPR 2010). He is an associate editor of IEEE Transactions on Pattern Analysis and Machine Intelligence, and Image and Vision Computing.
Last modification time:2010-12-26 AM 10:20

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