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» Tracking with Multiple Cameras for Video Surveillance
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GECCO
2009
Springer
148views Optimization» more  GECCO 2009»
15 years 3 months ago
Tracking multiple objects in non-stationary video
One of the key problems in computer vision and pattern recognition is tracking. Multiple objects, occlusion, and tracking moving objects using a moving camera are some of the chal...
Hoang Nguyen, Bir Bhanu
SIBGRAPI
2009
IEEE
15 years 6 months ago
Multi-Frame Motion Detection for Active/Unstable Cameras
—Network cameras, extensively used in video surveillance, often allow pan-tilt-zoom functionality and are also subject to wind load and mount vibrations, thus causing video frame...
Mirko Ristivojevic, Janusz Konrad
CAIP
2003
Springer
176views Image Analysis» more  CAIP 2003»
15 years 5 months ago
Evaluation of an Adaptive Composite Gaussian Model in Video Surveillance
Video surveillance systems seek to automatically identify events of interest in a variety of situations. Extracting a moving object from background is the most important step of t...
Qi Zang, Reinhard Klette
ICIP
2008
IEEE
15 years 6 months ago
Homography based distributed video coding for a network of cameras
Networks of multiple video cameras are being deployed in several scenarios like surveillance, traffic enforcement, human motion analysis and sports telecast. The unmanageable siz...
Ashok Veeraraghavan, Mahesh Ramachandran, Mareboya...
ICCV
2007
IEEE
16 years 1 months ago
Learning Higher-order Transition Models in Medium-scale Camera Networks
We present a Bayesian framework for learning higherorder transition models in video surveillance networks. Such higher-order models describe object movement between cameras in the...
Ryan Farrell, David S. Doermann, Larry S. Davis