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» Dynamic Feature Description in Human Action Recognition
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ICRA
2010
IEEE
185views Robotics» more  ICRA 2010»
14 years 11 months ago
MOPED: A scalable and low latency object recognition and pose estimation system
— The latency of a perception system is crucial for a robot performing interactive tasks in dynamic human environments. We present MOPED, a fast and scalable perception system fo...
Manuel Martinez, Alvaro Collet, Siddhartha S. Srin...
FGR
2000
IEEE
128views Biometrics» more  FGR 2000»
15 years 5 months ago
Understanding Purposeful Human Motion
Human motion can be understood on many levels. The most basic level is the notion that humans are collections of things that have predictable visual appearance. Next is the notion...
Christopher Richard Wren, Brian P. Clarkson, Alex ...
ICASSP
2008
IEEE
15 years 7 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...
AMDO
2008
Springer
15 years 3 months ago
A Comparative Study on Using Zernike Velocity Moments and Hidden Markov Models for Hand Gesture Recognition
Hand-gesture recognition presents a challenging problem for computer vision due to the articulated structure of the human hand and the complexity of the environments in which it is...
Moaath Al-Rajab, David Hogg, Kia Ng
HAPTICS
2002
IEEE
15 years 6 months ago
Building a Task Language for Segmentation and Recognition of User Input to Cooperative Manipulation Systems
We present the results of using Hidden Markov Models (HMMs) for automatic segmentation and recognition of user motions. Previous work on recognition of user intent with man/machin...
C. Sean Hundtofte, Gregory D. Hager, Allison M. Ok...