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CVPR
2007
IEEE
13 years 11 months ago
Object Classification in Visual Surveillance Using Adaboost
In this paper, we present a method of object classification within the context of Visual Surveillance. Our goal is the classification of tracked objects into one of the two classe...
John-Paul Renno, Dimitrios Makris, Graeme A. Jones
IBPRIA
2007
Springer
13 years 9 months ago
Automatic Learning of Conceptual Knowledge in Image Sequences for Human Behavior Interpretation
This work describes an approach for the interpretation and explanation of human behavior in image sequences, within the context of a Cognitive Vision System. The information source...
Pau Baiget, Carles Fernández Tena, F. Xavie...
WCE
2007
13 years 8 months ago
Neural Network Global Sliding Mode PID Control for Robot Manipulators
—This paper presents a neural network global PID-sliding mode control method for the tracking control of robot manipulators with bounded uncertainties. A certain sliding mode con...
T. C. Kuo, Y. J. Huang
ENGL
2008
139views more  ENGL 2008»
13 years 7 months ago
Global Stabilization of Robot Control with Neural Network and Sliding Mode
This paper presents a neural network global PID-sliding mode control method for the tracking control of robot manipulators with bounded uncertainties. A certain sliding mode contro...
T. C. Kuo, Y. J. Huang
CVIU
2006
129views more  CVIU 2006»
13 years 7 months ago
Integrating multiple levels of zoom to enable activity analysis
In this paper, we present a multi-zoom framework for activity analysis in situations requiring combinations of both detailed and coarse views of the scene. The epipolar geometry i...
Paul Smith, Mubarak Shah, Niels da Vitoria Lobo