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DSP
2006
13 years 9 months ago
Adaptive multi-modality sensor scheduling for detection and tracking of smart targets
This paper considers the problem of sensor scheduling for the purposes of detection and tracking of "smart" targets. Smart targets are targets that can detect when they ...
Christopher M. Kreucher, Doron Blatt, Alfred O. He...
CVPR
2007
IEEE
14 years 11 months ago
Capturing People in Surveillance Video
This paper presents reliable techniques for detecting, tracking, and storing keyframes of people in surveillance video. The first component of our system is a novel face detector ...
Rogerio Feris, Ying-li Tian, Arun Hampapur
WSC
2008
13 years 11 months ago
An application of parallel Monte Carlo modeling for real-time disease surveillance
The global health, threatened by emerging infectious diseases, pandemic influenza, and biological warfare, is becoming increasingly dependent on the rapid acquisition, processing,...
David W. Bauer, Mojdeh Mohtashemi
AVSS
2007
IEEE
13 years 9 months ago
A 2D+3D face identification system for surveillance applications
A novel surveillance system integrating 2D and 3D facial data is presented in this paper, based on a low-cost sensor capable of real-time acquisition of 3D images and associated c...
Filareti Tsalakanidou, Sotiris Malassiotis, Michae...
ICMCS
2005
IEEE
193views Multimedia» more  ICMCS 2005»
14 years 2 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