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ICIP
2007
IEEE
14 years 10 months ago
Robust Multi-Modal Group Action Recognition in Meetings from Disturbed Videos with the Asynchronous Hidden Markov Model
The Asynchronous Hidden Markov Model (AHMM) models the joint likelihood of two observation sequences, even if the streams are not synchronised. We explain this concept and how the...
Marc Al-Hames, Claus Lenz, Stephan Reiter, Joachim...
PAMI
2006
193views more  PAMI 2006»
14 years 9 months ago
A System for Learning Statistical Motion Patterns
Analysis of motion patterns is an effective approach for anomaly detection and behavior prediction. Current approaches for the analysis of motion patterns depend on known scenes, w...
Weiming Hu, Xuejuan Xiao, Zhouyu Fu, Dan Xie, Tien...
TVCG
2010
126views more  TVCG 2010»
14 years 8 months ago
Modeling Repetitive Motions Using Structured Light
— Obtaining models of dynamic 3D objects is an important part of content generation for computer graphics. Numerous methods have been extended from static scenarios to model dyna...
Yi Xu, Daniel G. Aliaga
73
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EUROSEC
2010
ACM
15 years 3 months ago
The robustness of a new CAPTCHA
CAPTCHA is a standard security technology that presents tests to tell computers and humans apart. In this paper, we examine the security of a new CAPTCHA that was deployed until v...
Ahmad Salah El Ahmad, Jeff Yan, Lindsay Marshall
ARITH
2007
IEEE
15 years 1 months ago
Robust Energy-Efficient Adder Topologies
In this paper we explore the relationship between adder topology and energy efficiency. We compare the energy-delay tradeoff curves of selected 32-bit adder topologies, to determi...
Dinesh Patil, Omid Azizi, Mark Horowitz, Ron Ho, R...