Sciweavers

4 search results - page 1 / 1
» Segmenting Layers in Automated Visual Surveillance
Sort
View
ICMCS
2005
IEEE
193views Multimedia» more  ICMCS 2005»
14 years 4 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
14 years 4 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 11 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»
14 years 5 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