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AR
2011
13 years 2 months ago
Learning, Generation and Recognition of Motions by Reference-Point-Dependent Probabilistic Models
This paper presents a novel method for learning object manipulation such as rotating an object or placing one object on another. In this method, motions are learned using referenc...
Komei Sugiura, Naoto Iwahashi, Hideki Kashioka, Sa...
TIP
2008
169views more  TIP 2008»
13 years 7 months ago
Weakly Supervised Learning of a Classifier for Unusual Event Detection
In this paper, we present an automatic classification framework combining appearance based features and Hidden Markov Models (HMM) to detect unusual events in image sequences. One...
Mark Jager, Christian Knoll, Fred A. Hamprecht
ICIP
2005
IEEE
14 years 9 months ago
A man-machine communication system based on the visual analysis of dynamic gestures
A perceptual human-machine interface based on visual appearence of hand movements is presented. Gestures are defined as the temporal evolution of 3D poses the of user's hand....
Giulia Gastaldi, Alessandro Pareschi, Silvio P. Sa...
TSD
2004
Springer
14 years 24 days ago
Slovak Text-to-Speech Synthesis in ARTIC System
Abstract. This paper presents a brand-new Slovak text-to-speech system. It was developed within the framework of ARTIC system (primarily designed to synthesize Czech speech) with r...
Jindrich Matousek, Daniel Tihelka
DAGM
2003
Springer
14 years 21 days ago
Real-Time Recognition of 3D-Pointing Gestures for Human-Machine-Interaction
We present a system capable of visually detecting pointing gestures and estimating the 3D pointing direction in real-time. We use Hidden Markov Models (HMMs) trained on different ...
Kai Nickel, Rainer Stiefelhagen