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Publications:
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Yaser Sheikh, Alexei Gritai
and
Mubarak Shah
On the Spacetime Geometry of Galilean Cameras
IEEE Conference on Computer Vision and Pattern Recognition,
Minneapolis, USA, 2007
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Alexei Gritai and
Mubarak Shah
Tracking of Human Body Joints Using
Anthropometry
IEEE International Conference on Multimedia & Expo, Toronto,
Canada, 2006
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Yaser Sheikh, Alexei Gritai,
Imran Junejo, Robert R. Muise, Abhjit Mahalanobis and
Mubarak Shah
Establishing a Common View from Multiple Moving
Aerial Sensors
SPIE Symposium on Defense and Security, Orlando, USA, 2005
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Alexei Gritai, Yaser Sheikh
and
Mubarak Shah
On the
use of Anthropometry in the Invariant Analysis of Human Actions
IEEE
International Conference on Pattern Recognition, Cambridge,
England, 2004
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Cen Rao, Alexei Gritai,
Mubarak Shah and Tanveer
Syeda-Mahmood
View Invariant
Alignment and Matching of Video Sequences
IEEE International Conference on Computer Vision, Nice, France,
2003
Research:
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Cen Rao, Alexei Gritai,
Mubarak Shah and Tanveer Syeda-Mahmood
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Alexei Gritai,
Yaser Sheikh and Mubarak Shah
Alexei Gritai and Mubarak Shah
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Lockheed-Martin: Tracking Multiple Moving Cameras
Yaser Sheikh , Alexei Gritai,
Imran Junejo
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Establishing a
common view from multiple moving aerial sensors,
Yaser A. Sheikh, Alexei Gritai, Imran Junejo, Robert R. Muise, Abhijit
Mahalanobis, Mubarak A. Shah,
SPIE Symposium on Defence and Security, Orlando, USA, 2005.
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Nighttime
Surveillance System
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PercepTek and computer vision group at the
University of Central Florida are working closely with the Robotic Systems
Branch within the Space and Naval Warfare Systems Center San Diego (SSC).
SSC’s immediate surveillance goal is to perform broad area surveillance of
their and similar sites. Toward this end, they are in the process of
installing surveillance sensor and computing pods throughout their facility.
However, SSC is in need of additional automated surveillance technology. In
particular, SSC has indicated that elusive behavior is the single greatest
indicator of a threat and is therefore eager to integrate and evaluate the
algorithms
determining if
there is potentially an object in the scene trying to elude detection.
We will also be working closely with American Monitoring Services (AMS), a
commercial manual video surveillance company. AMS is interested in
evaluating the feasibility of incorporating the technology for the elusive
behavior detection into their existing commercial systems.
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