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» Background Updating for Visual Surveillance
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CVPR
1999
IEEE
16 years 3 months ago
Independent Motion: The Importance of History
We consider a problem central in aerial visual surveillance applications { detection and tracking of small, independently moving objects in long and noisy video sequences. We dire...
Robert Pless, Tomás Brodský, Yiannis...
137
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ICCV
2003
IEEE
16 years 3 months ago
Counting People in Crowds with a Real-Time Network of Simple Image Sensors
Estimating the number of people in a crowded environment is a central task in civilian surveillance. Most vision-based counting techniques depend on detecting individuals in order...
Danny B. Yang, Héctor H. González-Ba...
ICCV
2009
IEEE
14 years 11 months ago
Incremental Multiple Kernel Learning for object recognition
A good training dataset, representative of the test images expected in a given application, is critical for ensuring good performance of a visual categorization system. Obtaining ...
Aniruddha Kembhavi, Behjat Siddiquie, Roland Miezi...
ICRA
2006
IEEE
113views Robotics» more  ICRA 2006»
15 years 7 months ago
Integration of Dependent Bayesian Filters for Robust Tracking
— Robotics applications based on computer vision algorithms are highly constrained to indoor environments where conditions may be controlled. The development of robust visual alg...
Francesc Moreno-Noguer, Alberto Sanfeliu, Dimitris...
JFR
2007
176views more  JFR 2007»
15 years 1 months ago
Two years of Visual Odometry on the Mars Exploration Rovers
NASA’s two Mars Exploration Rovers (MER) have successfully demonstrated a robotic Visual Odometry capability on another world for the first time. This provides each rover with ...
Mark W. Maimone, Yang Cheng, Larry Matthies