Sciweavers

ICMLC
2005
Springer
14 years 6 months ago
Automatic 3D Motion Synthesis with Time-Striding Hidden Markov Model
In this paper we present a new method, time-striding hidden Markov model (TSHMM), to learn from long-term motion for atomic behaviors and the statistical dependencies among them. T...
Yi Wang, Zhi-Qiang Liu, Li-Zhu Zhou
WACV
2005
IEEE
14 years 6 months ago
Incorporating Object Tracking Feedback into Background Maintenance Framework
Adaptive background modeling/subtraction techniques are popular, in particular, because they are able to cope with background variations that are due to lighting variations. Unfor...
Leonid Taycher, John W. Fisher III, Trevor Darrell
ICMCS
2005
IEEE
173views Multimedia» more  ICMCS 2005»
14 years 6 months ago
A Multi-Modal Mixed-State Dynamic Bayesian Network for Robust Meeting Event Recognition from Disturbed Data
In this work we present a novel multi-modal mixed-state dynamic Bayesian network (DBN) for robust meeting event classification. The model uses information from lapel microphones,...
Marc Al-Hames, Gerhard Rigoll
ICMCS
2005
IEEE
123views Multimedia» more  ICMCS 2005»
14 years 6 months ago
Hidden Markov Model Based Weighted Likelihood Discriminant for Minimum Error Shape Classification
The goal of this communication is to present a weighted likelihood discriminant for minimum error shape classification. Different from traditional Maximum Likelihood (ML) methods...
Ninad Thakoor, Sungyong Jung, Jean Gao
IROS
2006
IEEE
142views Robotics» more  IROS 2006»
14 years 6 months ago
Using Hidden Markov Models to Generate Natural Humanoid Movement
— This paper proposes a Hidden Markov Model (HMM) based approach to generate human-like movements for humanoid robots. Given human motion capture data for a class of movements, p...
Junghyun Kwon, Frank C. Park
ICMCS
2006
IEEE
344views Multimedia» more  ICMCS 2006»
14 years 6 months ago
Pattern Mining in Visual Concept Streams
Pattern mining algorithms are often much easier applied than quantitatively assessed. In this paper we address the pattern evaluation problem by looking at both the capability of ...
Lexing Xie, Shih-Fu Chang
ICDM
2006
IEEE
137views Data Mining» more  ICDM 2006»
14 years 6 months ago
Mining Complex Time-Series Data by Learning Markovian Models
In this paper, we propose a novel and general approach for time-series data mining. As an alternative to traditional ways of designing specific algorithm to mine certain kind of ...
Yi Wang, Lizhu Zhou, Jianhua Feng, Jianyong Wang, ...
ANSS
2006
IEEE
14 years 6 months ago
A New Approach for Computing Conditional Probabilities of General Stochastic Processes
In this paper Hidden Markov Model algorithms are considered as a method for computing conditional properties of continuous-time stochastic simulation models. The goal is to develo...
Fabian Wickborn, Claudia Isensee, Thomas Simon, Sa...
IVA
2007
Springer
14 years 6 months ago
Avatar Puppetry Using Real-Time Audio and Video Analysis
Abstract. We present a system which consists of a lifelike agent animated in real-time using video and audio analysis from the user. This kind of system could be used for Instant M...
Sylvain Le Gallou, Gaspard Breton, Renaud Sé...
HUC
2007
Springer
14 years 6 months ago
Tracking Free-Weight Exercises
Weight training, in addition to aerobic exercises, is an important component of a balanced exercise program. However, mechanisms for tracking free weight exercises have not yet bee...
Keng-hao Chang, Mike Y. Chen, John Canny