[UCI-Calit2] Upcoming lecture: Computer Vision Research at Watson: From VeggieVision to PeopleVision

Anna Lynn SPITZER ASPITZER at uci.edu
Wed Aug 17 15:24:53 PDT 2005


Title:                             Computer Vision Research at Watson:
>From VeggieVision to PeopleVision            

 

Speaker:                       Dr. Arun Hampapur, manager, Exploratory
Computer Vision Group, IBM T.J. Watson Research Center, Yorktown
Heights, NY

 

Time:                            Refreshments served at 2:45 p.m. with
talk to follow

 

Date:                            Monday, Aug. 22, 2005

 

Location:                       Calit2 Building, Room 3008

 

Abstract:                       Computer Vision, the science of
recognizing patterns in visual imagery, has a wide range of
applications. This talk presents an overview of projects at the
Exploratory Computer Vision Group in the IBM Watson Research Center.
Hampapur will briefly describe the group's work in automatic object
recognition (VeggieVision), automatic video indexing for broadcast
(VideoVista), and audio-visual speech recognition.  The focus of the
talk will be around biometrics and video surveillance. 

 

In Biometrics, Hampapur will present work on fingerprint matching,
including acquisition, feature extraction and fingerprint verification.
Anonymous biometrics is an effort to build technical solutions to the
privacy and security challenges that arise from the widespread use of
biometrics.  Large-scale biometric matching explores the use of
feature-based indexing techniques to address the accuracy and
performance issues that arise in one-to-many matching.

 

PeopleVision is a project that explores the use of camera-based object
detection, tracking and classification as the basis for building smart
surveillance systems. These systems are capable of automatically
monitoring physical spaces to provide a variety of functionalities like
real-time behavioral alerts, automatic event-based retrieval and
event-pattern analysis. Smart surveillance systems have applications in
a wide range of markets including homeland security, retail, travel and
transportation, and healthcare.

 

Bio:                              Dr. Arun Hampapur manages the
Exploratory Computer Vision Group at the IBM T.J. Watson Research
Center. The Exploratory Computer Vision Group is a 10-member team with
PhDs from the top universities in the world. The team currently has two
thrusts, video surveillance and biometrics technologies.  At IBM since
1997, Hampapur is one of the early researchers in the field of
Multimedia Database Management. He obtained his PhD from the University
of Michigan in 1995. Before moving to IBM, he was leading the video
effort at Virage Inc. (1995 - 1997). At IBM Research, in addition to
several research projects, Hampapur served as a design consultant for
the CNN Video archive system, a joint project between IBM and Sony. His
role as an indexing technology expert included developing a technology
adoption map for the customer and vendor qualification. Hampapur now
leads an Adventurous Research project called PeopleVision.  PeopleVision
explores several aspects of understanding people and their actions using
camera-based tracking.  The technology developed in the PeopleVision
project is currently being commercialized in the surveillance domain as
the IBM Smart Surveillance System (S3). He has published more than 40
papers on various topics related to media indexing, video analysis and
video surveillance, and holds eight U.S. patents. He is also active in
the research community and has served on the program committees of
several IEEE international conferences. He also served on an NSF review
panel for small business innovation research. Hampapur is an IEEE senior
member.

 

Additional Information:    This 2005 ResCUE Seminar Series lecture is
sponsored by Calit2 and the Donald Bren School of Information and
Computer Sciences. Faculty Sponsor: Professor Ramesh Jain. For
additional information on this series, contact Quent Cassen, (949)
824-1741 or cassen at uci.edu.

 

 

 

 

 

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