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» Flame detection in video using hidden Markov models
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MVA
2007
179views Computer Vision» more  MVA 2007»
14 years 9 months ago
Multi-object trajectory tracking
The majority of existing tracking algorithms are based on the maximum a posteriori (MAP) solution of a probabilistic framework using a Hidden Markov Model, where the distribution ...
Mei Han, Wei Xu, Hai Tao, Yihong Gong
BMCBI
2008
102views more  BMCBI 2008»
14 years 9 months ago
Ornithine decarboxylase antizyme finder (OAF): Fast and reliable detection of antizymes with frameshifts in mRNAs
Background: Ornithine decarboxylase antizymes are proteins which negatively regulate cellular polyamine levels via their affects on polyamine synthesis and cellular uptake. In vir...
Michaël Bekaert, Ivaylo P. Ivanov, John F. At...
ISVC
2010
Springer
14 years 8 months ago
On Supervised Human Activity Analysis for Structured Environments
We consider the problem of developing an automated visual solution for detecting human activities within industrial environments. This has been performed using an overhead view. Th...
Banafshe Arbab-Zavar, Imed Bouchrika, John N. Cart...
FGR
2002
IEEE
229views Biometrics» more  FGR 2002»
15 years 2 months ago
An Approach to Automatic Recognition of Spontaneous Facial Actions
We present ongoing work on a project for automatic recognition of spontaneous facial actions. Spontaneous facial expressions differ substantially from posed expressions, similar t...
Bjorn Braathen, Marian Stewart Bartlett, Gwen Litt...
AVSS
2006
IEEE
15 years 3 months ago
Nonparametric Background Modeling Using the CONDENSATION Algorithm
Background modeling for dynamic scenes is an important problem in the context of real time video surveillance systems. Several nonparametric background models have been proposed t...
Xingzhi Luo, Suchendra M. Bhandarkar, Wei Hua, Hai...