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  1. International Journal of Control, Automation and Systems
  2. International Journal of Control, Automation and Systems : Volume 8
  3. International Journal of Control, Automation and Systems : Volume 8, Issue 1, February 2010
  4. Articulated body motion tracking using illumination invariant optical flow
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International Journal of Control, Automation and Systems : Volume 15
International Journal of Control, Automation and Systems : Volume 14
International Journal of Control, Automation and Systems : Volume 13
International Journal of Control, Automation and Systems : Volume 12
International Journal of Control, Automation and Systems : Volume 11
International Journal of Control, Automation and Systems : Volume 10
International Journal of Control, Automation and Systems : Volume 9
International Journal of Control, Automation and Systems : Volume 8
International Journal of Control, Automation and Systems : Volume 8, Issue 6, December 2010
International Journal of Control, Automation and Systems : Volume 8, Issue 5, October 2010
International Journal of Control, Automation and Systems : Volume 8, Issue 4, August 2010
International Journal of Control, Automation and Systems : Volume 8, Issue 3, June 2010
International Journal of Control, Automation and Systems : Volume 8, Issue 2, April 2010
International Journal of Control, Automation and Systems : Volume 8, Issue 1, February 2010
Guaranteed set-point computation with application to the control of a sailboat
Robust ESPR analysis and control for uncertain continuous-time descriptor systems
Decentralized robust H$_{∞}$ output feedback control for value bounded uncertain large-scale interconnected systems
Unified parametrization for the solutions to the polynomial diophantine matrix equation and the generalized Sylvester matrix equation
Autopilots for small unmanned aerial vehicles: A survey
Pre-compensator selection for H $_{∞}$ loop shaping control
A controller for motor thermal aging protection based on the real-time sensing of motor operations
Modeling and simulation of powered hip orthosis by pneumatic actuators
Robust exponential stabilization for network-based switched control systems
Articulated body motion tracking using illumination invariant optical flow
Design of a sliding mode controller for an automatic guided vehicle and its implementation
A novel portable iris recognition system and usability evaluation
A threshold-based thinning algorithm for a visual, automated snow-cover measurement system
Gain-scheduled directional guidance controller design using a genetic algorithm for automatic precision landing
Robust H $_{∞}$ fuzzy control for discrete-time nonlinear systems
Delay-dependent stabilization for stochastic delayed fuzzy systems with impulsive effects
Fitness landscape for simple genetic algorithms supplied with adequate superior order-1 building blocks
Pattern recognition using feature feedback: Application to face recognition
On-line fault diagnosis of hydraulic systems using Unscented Kalman Filter
Position control of a mobile inverted pendulum system using radial basis function network
Improved LMI conditions for H $_{∞}$ output feedback stabilization of linear discrete-time systems
Robust multi-model predictive control using LMIs
International Journal of Control, Automation and Systems : Volume 7

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Articulated body motion tracking using illumination invariant optical flow

Content Provider Springer Nature Link
Author Kim, Yeon Ho Yi, Soo Yeong
Copyright Year 2010
Abstract We propose a model-based tracking method for articulated objects in monocular video sequences under varying illumination conditions. The tracking method uses estimates of optical flows constructed by projecting model textures into the camera images and comparing the projected textures with the recorded information. An articulated body is modelled in terms of 3D primitives, each possessing a specified texture on its surface. An important step in model-based tracking of 3D objects is the estimation of the pose of the object during the tracking process. The optimal pose is estimated by minimizing errors between the computed optical flow and the projected 2D velocities of the model textures. This estimation uses a least-squares method with kinematic constraints for the articulated object and a perspective camera model. We test our framework with an articulated robot and show results.
Starting Page 73
Ending Page 80
Page Count 8
File Format PDF
ISSN 15986446
Journal International Journal of Control, Automation and Systems
Volume Number 8
Issue Number 1
e-ISSN 20054092
Language English
Publisher Institute of Control, Robotics and Systems and The Korean Institute of Electrical Engineers
Publisher Date 2010-02-17
Publisher Place Heidelberg
Access Restriction One Nation One Subscription (ONOS)
Subject Keyword Articulated body tracking illumination invariance motion tracking Control Robotics Mechatronics
Content Type Text
Resource Type Article
Subject Control and Systems Engineering Computer Science Applications
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