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» Experimental Evaluation of Hierarchical Hidden Markov Models
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ICPR
2006
IEEE
15 years 8 months ago
HMM-based Human Action Recognition Using Multiview Image Sequences
In this paper, we present a novel method for human action recognition from any arbitrary view image sequence that uses the Cartesian component of optical flow velocity and human ...
Mohiuddin Ahmad, Seong-Whan Lee
MM
2006
ACM
157views Multimedia» more  MM 2006»
15 years 7 months ago
Syllabic level automatic synchronization of music signals and text lyrics
We present a framework to synchronize pop music to corresponding text lyric. We refine line level alignment achievable by existing work to syllabic level by using a dynamic progra...
Denny Iskandar, Ye Wang, Min-Yen Kan, Haizhou Li
ICIP
2002
IEEE
15 years 6 months ago
Panoramic capturing and recognition of human activity
This paper presents a unified approach to human activity capturing and recognition. It targets applications such as a speaker walking, turning around, sitting and getting up from ...
Xinding Sun, B. S. Manjunath
HUC
2009
Springer
15 years 6 months ago
Recognizing daily activities with RFID-based sensors
We explore a dense sensing approach that uses RFID sensor network technology to recognize human activities. In our setting, everyday objects are instrumented with UHF RFID tags ca...
Michael Buettner, Richa Prasad, Matthai Philipose,...
ACII
2005
Springer
15 years 3 months ago
Hand Motion Recognition for the Vision-based Taiwanese Sign Language Interpretation
In this paper we present a system to recognize the hand motion of Taiwanese Sign Language (TSL) using the Hidden Markov Models (HMMs) through a vision-based interface. Our hand mot...
Chia-Shiuan Cheng, Pi-Fuei Hsieh, Chung-Hsien Wu