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UTARI Seminar

UTARI Seminar

UTARI Seminar is held the last Friday of each month at 12:00PM (noon). Each seminar highlights a different speaker who will discuss their latest research projects, cutting-edge technology or what is happening within certain technological industries. These industries include biomedical technologies or microsystems, assistive technologies, automation and intelligent systems, unmanned systems, advanced manufacturing and composite materials.


Speaker

Vassilis Athitsos

Topic

Human Motion Analysis Using Computer Vision: Some Applications, Methods, and Challenges

Abstract

There are numerous real-world applications that can benefit from computer vision methods performing human motion analysis. This talk will discuss some of the human motion analysis projects that we have been pursuing over the last several years, including sign language recognition, fall detection, and automatic scoring of physical exercises. These projects have presented several important challenges, that are commonly encountered in human motion analysis. One such challenge is the lack of adequate amounts of training data, that necessitates the use of machine learning methods that can be effective with only a few examples of training objects per class. Another challenge is the difficulty of accurate detection and tracking of individual body parts, which necessitates the development of recognition modules that are robust to detection and tracking errors.

A third challenge is matching the typical human motion analysis paradigms developed by the computer vision community with the needs of actual applications, as oftentimes the assumptions made in the lab are not suitable for applications in the real world. The talk will discuss methods that we have developed, results on our target applications, and remaining open problems.

Bio

Vassilis Athitsos received the BS degree in mathematics from the University of Chicago in 1995, the MS degree in computer science from the University of Chicago in 1997, and the PhD degree in computer science from Boston University in 2006. In 2005-2006 he worked as a researcher at Siemens Corporate Research, developing methods for database-guided medical image analysis. In 2006-2007 he was a postdoctoral research associate at the Computer Science department at Boston University. Since August 2007 he is a faculty member at the Computer Science and Engineering department at the University of Texas at Arlington, where he currently serves as associate professor. His research interests include computer vision, machine learning, and data mining. His recent work has focused on gesture and sign language recognition, detection and tracking of humans using computer vision, face detection and recognition, and efficient similarity search in multimedia databases. His research has been supported by numerous grants from the National Science Foundation, including an NSF CAREER award.




Date

Friday, January 26, 2017

Time

12pm (noon)-1pm

Location

7300 Jack Newell Boulevard South
Fort Worth, TX 76118-7115
817-272-5900
uta.edu/utari