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» Semi-Supervised Novelty Detection
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ICIP
2009
IEEE
14 years 7 months ago
An efficient and robust sequential algorithm for background estimation in video surveillance
Many computer vision algorithms such as object tracking and event detection assume that a background model of the scene under analysis is known. However, in many practical circums...
Vikas Reddy, Conrad Sanderson, Brian C. Lovell
JSAC
2011
191views more  JSAC 2011»
14 years 4 months ago
CRP: A Routing Protocol for Cognitive Radio Ad Hoc Networks
Abstract—Cognitive radio (CR) technology enables the opportunistic use of the vacant licensed frequency bands, thereby improving the spectrum utilization. However, the CR operati...
Kaushik R. Chowdhury, Ian F. Akyildiz
CVPR
2012
IEEE
13 years 11 hour ago
Multi view registration for novelty/background separation
We propose a system for the automatic segmentation of novelties from the background in scenarios where multiple images of the same environment are available e.g. obtained by weara...
Omid Aghazadeh, Josephine Sullivan, Stefan Carlsso...

Publication
234views
13 years 24 days ago
Road Scene Understanding from a Single Image
Road scene segmentation is important in computer vision for different applications such as autonomous driving and pedestrian detection. Recovering the 3D structure of road scenes ...
Jose M. Alvarez, Theo Gevers, Yann LeCun, Antonio ...
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BMVC
1998
14 years 11 months ago
Colour Profiling Using Multiple Colour Spaces
This paper presents an original method using colour histograms for flaw detection in automated industrial inspection. The colour histogram of an image is constructed by mapping th...
Nicola Duffy, Gerard Lacey