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» Video Objects Segmentation by Robust Background Modeling
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ICRA
2006
IEEE
113views Robotics» more  ICRA 2006»
14 years 2 months ago
Integration of Dependent Bayesian Filters for Robust Tracking
— Robotics applications based on computer vision algorithms are highly constrained to indoor environments where conditions may be controlled. The development of robust visual alg...
Francesc Moreno-Noguer, Alberto Sanfeliu, Dimitris...
AMDO
2008
Springer
13 years 10 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
VMV
2001
131views Visualization» more  VMV 2001»
13 years 9 months ago
Shape Model and Threshold Extraction via Shape Gradients
Shape information is utilized by numerous applications in computer vision, scientific visualization and computer graphics. This paper presents a novel algorithm for exploring and ...
Roger C. Tam, Alain Fournier
BMVC
1998
13 years 9 months ago
Learning Enhanced 3D Models for Vehicle Tracking
This paper presents an enhanced hypothesis verification strategy for 3D object recognition. A new learning methodology is presented which integrates the traditional dichotomic obj...
James M. Ferryman, Anthony D. Worrall, Stephen J. ...
3DPVT
2002
IEEE
136views Visualization» more  3DPVT 2002»
14 years 28 days ago
Extraction and Description of 3D (Articulated) Moving Objects
We seek to extract the three-dimensional motion of articulated objects by passive sensing. We first developed a multi-view system that segments objects from the background before...
Karl J. Sharman, Mark S. Nixon, John N. Carter