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» Activity Modeling Using Event Probability Sequences
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ACCV
2006
Springer
13 years 11 months ago
Key Frame-Based Activity Representation Using Antieigenvalues
Many activities may be characterized by a sequence of key frames that are related to important changes in motion rather than dominant characteristics that persist over a long seque...
Naresh P. Cuntoor, Rama Chellappa
BMCBI
2005
86views more  BMCBI 2005»
13 years 7 months ago
Generalizations of Markov model to characterize biological sequences
Background: The currently used kth order Markov models estimate the probability of generating a single nucleotide conditional upon the immediately preceding (gap = 0) k units. How...
Junwen Wang, Sridhar Hannenhalli
ICIAR
2009
Springer
14 years 10 days ago
Abnormal Behavior Recognition Using Self-Adaptive Hidden Markov Models
A self-adaptive Hidden Markov Model (SA-HMM) based framework is proposed for behavior recognition in this paper. In this model, if an unknown sequence cannot be classified into an...
Jun Yin, Yan Meng
FGR
2006
IEEE
163views Biometrics» more  FGR 2006»
14 years 1 months ago
Human Action Recognition Using Multi-View Image Sequences Features
Recognizing human action from image sequences is an active area of research in computer vision. In this paper, we present a novel method for human action recognition from image se...
Mohiuddin Ahmad, Seong-Whan Lee
WSC
2004
13 years 9 months ago
A Unified Approach for Finite-Dimensional, Rare-Event Monte Carlo Simulation
We consider the problem of estimating the small probability that a function of a finite number of random variables exceeds a large threshold. Each input random variable may be lig...
Zhi Huang, Perwez Shahabuddin