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Topical Description(s):
Gait Recognition: I know You from the Way You Walk
It has been folklore that humans can identify others based on their biological movement. This observation
was somewhat bolstered by experiments with light point displays by human perception researchers in the
70s and have been confirmed by recent human perception experiments. However, it is only recently that
computer vision based gait biometrics has received much attention. Recent research on this topic, much of
it facilitated by the structure of the DARPA HumanID Gait Challenge Problem, has brought into light
interesting capabilities and limits of this modality. USF was the lead in developing this challenge.
Automated recognition is possible from gait. The developed technology can also be used for making
coarser distinctions other than identity, such as gender from a distance.
Human Computer Communication Using Sign Language
Sign languages are complex, abstract linguistic systems, with their own grammars. This talk will
introduce you to automated algorithms that can take sign language video and recognize the signs
performed. This kind of ability would be useful in facilitating the communication between Deaf and
hearing persons, mediated by a computing device coupled with cameras. The goal is to develop computercamera systems to recognize sign language from video, without the use of special equipment such as data
gloves or magnetic markers. Such systems would enable the hearing to communicate easily with the Deaf
at airports, grocery stores, etc.
Speaker's Photo:
Contact Information:
Sudeep Sarkar
E-mail: [email protected]
Phone: 974 2113
Department: Computer Science and Engineering
Dept. Phone Number: 974 4100
Biographical Information:
Sudeep Sarkar is a Professor in the Computer Science and Engineering Department at USF. His
research interests include perceptual organization in single images and multiple image
sequences, automated sign language recognition, biometrics and nano-computing. He is the coauthor of the book "Computing Perceptual Organization in Computer Vision," published by
World Scientific. He also the co-editor of the book "Perceptual Organization for Artificial Vision
Systems" published by Kluwer Publishers. He is the recipient of the National Science
Foundation CAREER award in 1994, the USF Teaching Incentive Program Award for
undergraduate teaching excellence in 1997, the Outstanding Undergraduate Teaching Award in
1998, and the Ashford Distinguished Scholar Award in 2004. He served on the editorial boards
for the IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Analysis &
Applications Journal, Pattern Recognition journal, IEEE Transactions on Systems, Man, and
Cybernetics, Part-B, Image and Vision Computing, and IET Computer Vision. He is currently
one of the Editor-in-Chiefs for Pattern Recognition Letters. He is a Fellow of the International
Association of Pattern Recognition (IAPR) and an IEEE-CS Distinguished Visitor Program
speaker.