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» Probabilistic Object Tracking Using Multiple Features
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IROS
2007
IEEE
95views Robotics» more  IROS 2007»
14 years 3 months ago
Modeling affordances using Bayesian networks
— Affordances represent the behavior of objects in terms of the robot’s motor and perceptual skills. This type of knowledge plays a crucial role in developmental robotic system...
Luis Montesano, Manuel Lopes, Alexandre Bernardino...
MICCAI
2003
Springer
14 years 10 months ago
Mapping Techniques for Aligning Sulci across Multiple Brains
Visualization and mapping of function on the cortical surface is difficult because of its sulcal and gyral convolutions. Methods to unfold and flatten the cortical surface for vis...
Duygu Tosun, Maryam E. Rettmann, Jerry L. Prince
EUSFLAT
2009
177views Fuzzy Logic» more  EUSFLAT 2009»
13 years 7 months ago
Fuzzy Voxel Object
In this paper, computer vision and fuzzy set theory are merged for the robust construction of three-dimensional objects using a small number of cameras and minimal a priori knowled...
Derek Anderson, Robert H. Luke III, Erik E. Stone,...
ICCV
2003
IEEE
14 years 11 months ago
Video Google: A Text Retrieval Approach to Object Matching in Videos
We describe an approach to object and scene retrieval which searches for and localizes all the occurrences of a user outlined object in a video. The object is represented by a set...
Josef Sivic, Andrew Zisserman
ICPR
2006
IEEE
14 years 3 months ago
A Unified System for Segmentation and Tracking of Face and Hands in Sign Language Recognition
This paper presents a unified system for segmentation and tracking of face and hands in a sign language recognition using a single camera. Unlike much related work that uses colou...
George Awad, Junwei Han, Alistair Sutherland