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» Gesture Modeling and Recognition Using Finite State Machines
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ICVGIP
2004
14 years 11 months ago
A Framework for Activity Recognition and Detection of Unusual Activities
In this paper we present a simple framework for activity recognition based on a model of multi-layered finite state machines, built on top of a low level image processing module f...
Dhruv Mahajan, Nipun Kwatra, Sumit Jain, Prem Kalr...
CVPR
2006
IEEE
15 years 11 months ago
Gesture Recognition using Hidden Markov Models from Fragmented Observations
We consider the problem of computing the likelihood of a gesture from regular, unaided video sequences, without relying on perfect segmentation of the scene. Instead of requiring ...
Ruiduo Yang, Sudeep Sarkar
89
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DAC
1997
ACM
15 years 1 months ago
Sequence Compaction for Probabilistic Analysis of Finite-State Machines
- The objective of this paper is to provide an effective technique for accurate modeling of the external input sequences that affect the behavior of Finite State Machines (FSMs). T...
Diana Marculescu, Radu Marculescu, Massoud Pedram
CVPR
2007
IEEE
15 years 11 months ago
Latent-Dynamic Discriminative Models for Continuous Gesture Recognition
Many problems in vision involve the prediction of a class label for each frame in an unsegmented sequence. In this paper, we develop a discriminative framework for simultaneous se...
Louis-Philippe Morency, Ariadna Quattoni, Trevor D...
ICMCS
2008
IEEE
147views Multimedia» more  ICMCS 2008»
15 years 4 months ago
Hand trajectory based gesture recognition using self-organizing feature maps and markov models
This work presents the design and experimental verification of an original system architecture aiming at recognizing gestures based solely on the hand trajectory. Self organizing ...
George Caridakis, Kostas Karpouzis, Christos Pater...