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CSE 678 Face and
Gesture Recognition Spring 2011 Instructor: Dr. Yun (Raymond) Fu Course Webpage: http://www.cse.buffalo.edu/~yunfu/course/CSE678_Spring2011.htm Course Syllabus: Times: Tuesday and
Thursday 5:00pm-6:20pm Location: 220 Natural
Sciences Complex (NSC), North Campus Office Hours: Wednesday 2pm¡ª4:30pm by appointment Office Hours Location: Bell Hall 241 Course
Overview Face
and gesture recognition is an advanced technology that utilizes the intrinsic
physiological or behavioral traits of individual for machine-based automatic
and reliable identification. It attracts much attention due the increasing
demand for the security, privacy, and health care related human-centered
applications. This course covers the state-of-the-art face and gesture
recognition technologies, including face/human detection, face/body tracking,
face recognition, head/body pose estimation, expression recognition, body
language recognition, gait analysis, hand/body/eye gesture, action/activity
analysis, and so forth. Multimodal, multimodality, and soft-biometric
frameworks will also be discussed. Fundamental knowledge covered by the
course include pattern recognition, feature extraction, classifier,
probabilistic models, image processing, and machine learning. Tools and
techniques for practical face and gesture recognition system design as well
as hands-on exercises and projects will be provided. Prerequisites CSE 555 or CSE 574, and CSE 573; or permission by
instructor. Grading Students will be graded on participation (at most
two times absence), homework, a mid-term examination, and a final project and
presentation. The final grade will be composed as follows: Class Participation................. 10%
Homework............................. 30% Reference Books (Not required to purchase) Class lecture slides will be provided by the
instructor for each student before each class, either printout or electronic
file. Students will be asked to find more self-learning content from Internet
resource. Recommended textbooks are: 1.
Pattern Classification (2nd Edition) Editors:
Richard O. Duda, Peter E. Hart , David G. Stork, ISBN: 978-0-471-05669-0,
Wiley, 2000, 680 pages 2.
Recent Advances in Face Recognition, Editors:
Kresimir Delac, Mislav Grgic and Marian Stewart Bartlett, IN-TECH, Vienna,
Austria, 2008, 236 pages 3.
Face Processing: Advanced Modeling and Methods,
Editors: Wenyi Zhao and Rama Chellappa Elsevier/Academic Press, 2005, 768
pages 4.
Sushmita Mitra, Tinku Acharya, ¡°Gesture
Recognition: A Survey¡±, IEEE Transactions on systems, man, and cybernetics -
part c: applications and reviews, vol. 37, no. 3, May 2007. 5.
Intelligent Video Surveillance: Systems and
Technology, Y. Ma and G. Qian (Eds.), Taylor and Francis Group, 2009 Course Topics and Schedules
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* One or two guest lecturers will be invited to
present some topics if funding is available for honoraria or expenses. Final Project The final project has two options: demo design
or computing tool design. The demo design mainly focuses on the programming of
a real-world vision system. The computing tool design is mainly to implement
or invent an (new) algorithm, test on some face/gesture database and provide
comparisons and discussions. The data should be real data, which can be
either collected by the individual or borrowed from somewhere (with
permission and acknowledgement). Students can use any API or programming
language they like. Students can work on the project by themselves or team up
with other students in the class. The team members cannot be more than two. To grade the final project, three aspects will
be considered. 1) proposal presentation (20%); 2) final project presentation
(30%); 3) final project report and software package (50%). Late submission
without instructor¡¯s permission may not be considered. Typically, we do not
anticipate that the grades for each team member will be different. However,
we reserve the right to assign different grades to each team member if the
efforts or contributions they make are apparently different and unbalanced.
Bonus points may be earned if the project shows significant novelty and large
potential for real-world applications. Those projects may get our guidance
for further paper publications. Proposals and Reports Please consider following contents when you prepare
for your proposals and final reports:
Submission The presentation slides, the final report and
software package should be submitted to yunfu@buffalo.edu
on time. |
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Last Update: 08-17-2010, Copyright 2004~2010,
Yun Fu, All Rights Reserved |
