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» Detecting Irregularities in Images and in Video
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ICIP
2009
IEEE
15 years 3 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
CVPR
1997
IEEE
15 years 10 months ago
Multi-Modal Tracking of Faces for Video Communications
This paper describes a system which uses multiple visual processes to detect and track faces for video compression and transmission. The system is based on an architecture in whic...
James L. Crowley, François Bérard
EURONGI
2008
Springer
15 years 8 months ago
Image Recognition Traffic Patterns for Wireless Multimedia Sensor Networks
The objective of this work is to identify some of the traffic characteristics of Wireless Multimedia Sensor Networks (WMSN). Applications such as video surveillance sensor networks...
Ruken Zilan, José M. Barceló-Ordinas...
ICCV
2007
IEEE
16 years 8 months ago
Fast Crowd Segmentation Using Shape Indexing
This paper presents a fast, accurate, and novel method for the problem of estimating the number of humans and their positions from background differenced images obtained from a si...
Lan Dong, Vasu Parameswaran, Visvanathan Ramesh, I...
BMCBI
2010
191views more  BMCBI 2010»
15 years 6 months ago
Colonyzer: automated quantification of micro-organism growth characteristics on solid agar
Background: High-throughput screens comparing growth rates of arrays of distinct micro-organism cultures on solid agar are useful, rapid methods of quantifying genetic interaction...
Conor Lawless, Darren J. Wilkinson, Alexander Youn...