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Please visit my new
and updated website at ASU: .
Pavan
Turaga
Research
Associate
Center for Automation Research
University of Maryland |
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I will be
joining in Fall 2011 as an Asst. Prof. jointly between the
departments
of and .
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About Me
Hi,
I am
Pavan Turaga. I completed my PhD in the Electrical and Computer
Engineering Department at the University of Maryland, College Park
under the guidance of . My
broad
research interests are in the following areas
News
- Diamond-Sentry featured in
- Our technology won the
- I was awarded 2009's
- Recently selected to
participate in the Workshop.
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About my Research
Humans
are surrounded with
signals and sensors of all kinds such as cell-phones, cameras, sensors
in automobiles, medical sensors, and ambient sensors. A large portion
of the signals recorded by these sensors is directly related to the
underlying activities, emotions, thoughts, and intents of humans. My
research agenda is to interpret these varied signals to reveal hidden
structure and meaning in them. These structures would then yield
methods to meaningfully organize what is already out there (e.g.
organizing Youtube videos), exploit the organized data to assign
meaning to new data (e.g. automatically tagging photos in personal
albums), and help humans in making critical decisions (e.g. medical
decision support). Toward this end, I envision the use of multiple
disciplines such as signal processing, computer vision, machine
learning, neuroscience -- and multiple technologies such as
crowd-sourcing, ambient intelligence, collaborative filtering
etc.
Some of the projects that I have
worked on which involve some of the above ideas are listed below.
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Some Selected Projects
| Analyzing
and Organizing Consumer Video: Scenes and Human Activities |
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N.
Shroff,
P.
Turaga, and R. Chellappa. “Moving Vistas: Exploiting Motion
for
Describing Scenes”, at IEEE
conference on Computer Vision and Pattern
Recognition (CVPR), June 2010.
N.
Shroff,
P.
Turaga, and R. Chellappa, “Video
Precis: Highlighting Diverse Aspects of Videos”, at
IEEE Transactions on Multimedia, Dec 2010.
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| Analytic Manifold
Models of Appearance and Motion |
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P. Turaga,
A. Veeraraghavan, A. Srivastava, and R. Chellappa. “Statistical
Computations on
Grassmann and Stiefel manifolds for Image and Video-based
recognition”, in IEEE
Transactions on Pattern Analysis and Machine Intelligence (PAMI),
accepted 2010. [Code coming soon].
(Also
earlier CVPR paper
P.
Turaga and R. Chellappa. “Locally Time-Invariant models of
Human
Activities using Trajectories on the Grassmanian
”, at IEEE conference
on
Computer Vision and Pattern
Recognition (CVPR), June 2009.
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| Knowledge
Extraction from Video |
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P.
Turaga, A.
Veeraraghavan and R.
Chellappa, “Unsupervised
View and Rate Invariant Clustering of Video Sequences”, in Computer
Vision and Image
Understanding (special issue on Video Analysis), March 2009. .
P.
K. Turaga,
A.Veeraraghavan and R. Chellappa.
“From videos to verbs: Mining Videos for Activities using a
cascade of dynamical systems”, in IEEE conference on
Computer
Vision and Pattern Recognition (CVPR), June 2007. |
| Large Scale
Activity Recognition in Video and Sensor Networks |
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P.
Turaga and Y. Ivanov, “Diamond
Sentry: Integrating Cameras and Sensors for Real-Time Monitoring of
Indoor Spaces”, accepted at
IEEE Sensors Journal, Special Issue on Cognitive Sensor Networks,
2010. .
M. Albanese,
V.
Moscato, R. Chellappa, A. Picariello, V. S. Subrahmanian, P. Turaga and
O. Udrea, “A Constrained Probabilistic Petri-Net Framework
for
Human Activity Detection in Video”, in IEEE Transactions
on Multimedia, December 2008.
A.
Sankaranarayanan, R. Patro, P. Turaga, A. Varshney, and R.
Chellappa, “Modelling and
Visualizing Human Activities for Multi-Camera Networks”, accepted
at EURASIP Journal on Image and
Video Processing, 2009. |
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