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» Segmenting Layers in Automated Visual Surveillance
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ICMCS
2005
IEEE
193views Multimedia» more  ICMCS 2005»
13 years 10 months ago
Segmenting Layers in Automated Visual Surveillance
Detecting objects of interest from a video sequence is a fundamental and critical task in automated visual surveillance. Those objects can either be moving or stationary. However,...
Lijuan Qin, Yueting Zhuang, Yunhe Pan, Fei Wu
ICCV
2003
IEEE
13 years 10 months ago
An automatic drowning detection surveillance system for challenging outdoor pool environments
Automatically understanding events happening at a site is the ultimate goal of visual surveillance system. This paper investigates the challenges faced by automated surveillance s...
How-Lung Eng, Kar-Ann Toh, Alvin Harvey Kam, Junxi...
BMCBI
2010
178views more  BMCBI 2010»
13 years 5 months ago
CNV Workshop: an integrated platform for high-throughput copy number variation discovery and clinical diagnostics
Background: Recent studies have shown that copy number variations (CNVs) are frequent in higher eukaryotes and associated with a substantial portion of inherited and acquired risk...
Xiaowu Gai, Juan C. Perin, Kevin Murphy, Ryan O'Ha...
FSKD
2007
Springer
193views Fuzzy Logic» more  FSKD 2007»
13 years 11 months ago
Panoramic Background Model under Free Moving Camera
segmentation of moving regions in outdoor environment under a moving camera is a fundamental step in many vision systems including automated visual surveillance, human-machine int...
Naveed I. Rao, Huijun Di, Guangyou Xu