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» Gait-Based Recognition of Humans Using Continuous HMMs
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138
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EUSAI
2007
Springer
15 years 7 months ago
Toward Recognition of Short and Non-repetitive Activities from Wearable Sensors
Activity recognition has gained a lot of interest in recent years due to its potential and usefulness for context-aware computing. Most approaches for activity recognition focus on...
Andreas Zinnen, Kristof Van Laerhoven, Bernt Schie...
147
Voted
ICASSP
2008
IEEE
15 years 10 months ago
Discriminative feature selection for hidden Markov models using Segmental Boosting
We address the feature selection problem for hidden Markov models (HMMs) in sequence classification. Temporal correlation in sequences often causes difficulty in applying featur...
Pei Yin, Irfan A. Essa, Thad Starner, James M. Reh...
147
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CVIU
2006
317views more  CVIU 2006»
15 years 3 months ago
A general method for human activity recognition in video
In this paper we develop a system for human behaviour recognition in video sequences. Human behaviour is modelled as a stochastic sequence of actions. Actions are described by a f...
Neil Robertson, Ian D. Reid
114
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PR
2000
189views more  PR 2000»
15 years 3 months ago
LAFTER: a real-time face and lips tracker with facial expression recognition
This paper describes an active-camera real-time system for tracking, shape description, and classi"cation of the human face and mouth expressions using only a PC or equivalen...
Nuria Oliver, Alex Pentland, François B&eac...
125
Voted
ICIP
2003
IEEE
16 years 5 months ago
A hidden Markov model based framework for recognition of humans from gait sequences
In this paper we propose a generic framework based on Hidden Markov Models (HMMs) for recognition of individuals from their gait. The HMM framework is suitable, because the gait o...
Aravind Sundaresan, Amit K. Roy Chowdhury, Rama Ch...