CSE 6369 - Special Topics in Advanced Intelligent Systems
Sign Language Recognition

Spring 2012
Instructor: Vassilis Athitsos

This course will engage students in individual, student-designed projects, where students will design computer vision methods for sign language recognition. Topics of interest include:

• detecting and recognizing people in a scene.
• detecting and tracking individual body parts such as faces and hands.
• model-based and exemplar-based methods for recognizing gestures and signs.
• approaches for visualizing recognition results and the behavior of different system components.
• defining measures of performance and conducting meaningful quantitative experiments.

The main deliverable for each student will be an individual project. The project will be graded based on degree of difficulty, system performance, ability to visualize the behavior of the overall system as well as individual system components, and quality of the experimental evaluation. Students will specify their project at the beginning of the course and will deliver progress reports at each class meeting. The course grade will also depend on class participation and quality of one or two oral presentations that the student will make in class.

This course is also offered as a CSE 4392 special topics undergraduate course. Undergraduates interested in registering for this course should have some basic computer vision background, and should obtain permission from the instructor before registering. Undergraduate student projects are not expected to match the degree of difficulty and sophistication of graduate student projects.

Links

• Syllabus
• Reading Material
• Presentation Schedule

Course web page: http://vlm1.uta.edu/~athitsos/courses/cse6369_spring2012
Lecture times: Tuesday and Thursday, 12:30pm-1:50pm
Classroom: ERB 131

Instructor:

Vassilis Athitsos

Office: ERB 623
Office Telephone: 817-272-0155
Office hours: MWF 12:30pm-1:30pm.

Teaching assistant (GTA):

Soheil Shafiee
E-mail: soheil dot shafiee at mavs dot uta
Office: ERB 550
Office hours: MWF 3:00pm-4:00pm.