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» Building Adaptive Camera Models for Video Surveillance
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ICRA
2009
IEEE
164views Robotics» more  ICRA 2009»
15 years 4 months ago
Assigning cameras to subjects in video surveillance systems
— We consider the problem of tracking multiple agents moving amongst obstacles, using multiple cameras. Given an environment with obstacles, and many people moving through it, we...
Hazem El-Alfy, David Jacobs, Larry Davis
DICTA
2007
14 years 11 months ago
Tracking with Multiple Cameras for Video Surveillance
The large shape variability and partial occlusions challenge most object detection and tracking methods for nonrigid targets such as pedestrians. Single camera tracking is limited...
Manas Kamal Bhuyan, Brian C. Lovell, Abbas Bigdeli
ICASSP
2010
IEEE
14 years 8 months ago
Real-time content adaptive contrast enhancement for see-through fog and rain
In this paper we present a novel algorithm for improving the visibility of surveillance videos degraded by fog and/or rain. The proposed algorithm adaptively enhances the global a...
Zhen Jia, Hongcheng Wang, Rodrigo Caballero, Ziyou...
JAISE
2011
238views more  JAISE 2011»
14 years 3 months ago
A bio-inspired system model for interactive surveillance applications
Advances in computer vision and pattern recognition research are leading to video surveillance systems with improved scene analysis capabilities. However, up to now few works have ...
Alessio Dore, Matteo Pinasco, Lorenzo Ciardelli, C...
ICCV
2007
IEEE
15 years 11 months ago
Trajectory Rectification and Path Modeling for Video Surveillance
Path modeling for video surveillance is an active area of research. We address the issue of Euclidean path modeling in a single camera for activity monitoring in a multicamera vid...
Imran N. Junejo, Hassan Foroosh