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» Intrusion Detection: Systems and Models
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PRICAI
2004
Springer
16 years 3 days ago
Adaptive Model for Foreground Extraction in Adverse Lighting Conditions
Background elimination models are widely used in motion tracking systems. Our aim is to develop a system that performs reliably under adverse lighting conditions. In particular, th...
Stewart Greenhill, Svetha Venkatesh, Geoff A. W. W...
201
Voted
CVPR
2005
IEEE
16 years 8 months ago
Detecting, Localizing and Recovering Kinematics of Textured Animals
We develop and demonstrate an object recognition system capable of accurately detecting, localizing, and recovering the kinematic configuration of textured animals in real images....
Deva Ramanan, David A. Forsyth, Kobus Barnard
CDC
2008
IEEE
157views Control Systems» more  CDC 2008»
15 years 7 months ago
A hidden Markov filtering approach to multiple change-point models
We describe a hidden Markov modeling approach to multiple change-points that has attractive computational and statistical properties. This approach yields explicit recursive filter...
Tze Leung Lai, Haipeng Xing
PRL
2006
88views more  PRL 2006»
15 years 6 months ago
Physical optics modelling of millimetre-wave personnel scanners
We describe the physical-optics modelling of a millimetre-wave imaging system intended to enable automated detection of threats hidden under clothes. This paper outlines the theor...
Beatriz Grafulla-González, Katia Lebart, An...
ICDCS
2008
IEEE
16 years 1 months ago
Performance Analysis of Group Based Detection for Sparse Sensor Networks
In this paper, we analyze the performance of group based detection in sparse sensor networks, when the system level detection decision is made based on the detection reports gener...
Jingbin Zhang, Gang Zhou, Sang Hyuk Son, John A. S...