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» A Framework for Representing Moving Objects
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WACV
2007
IEEE
15 years 4 months ago
Motion Estimation Using a General Purpose Neural Network Simulator for Visual Attention
Motion detection and estimation is a first step in the much larger framework of attending to visual motion based on Selective Tuning Model of Visual Attention [1]. In order to be ...
Florentin Dorian Vintila, John K. Tsotsos
PKDD
2001
Springer
185views Data Mining» more  PKDD 2001»
15 years 2 months ago
Temporal Rule Discovery for Time-Series Satellite Images and Integration with RDB
Feature extraction and knowledge discovery from a large amount of image data such as remote sensing images have become highly required recent years. In this study, a framework for ...
Rie Honda, Osamu Konishi
ECCV
2010
Springer
15 years 2 months ago
Efficient Non-Consecutive Feature Tracking for Structure-from-Motion
Abstract. Structure-from-motion (SfM) is an important computer vision problem and largely relies on the quality of feature tracking. In image sequences, if disjointed tracks caused...
TIP
2008
173views more  TIP 2008»
14 years 9 months ago
A Generic Shape/Texture Descriptor Over Multiscale Edge Field: 2-D Walking Ant Histogram
A novel shape descriptor, which can be extracted from the major object edges automatically and used for the multimedia content-based retrieval in multimedia databases, is presented...
Serkan Kiranyaz, M. Ferreira, Moncef Gabbouj
CVPR
1999
IEEE
15 years 12 months ago
A Multiple Hypothesis Approach to Figure Tracking
This paper describes a probabilistic multiple-hypothesis framework for tracking highly articulated objects. In this framework, the probability density of the tracker state is repr...
Tat-Jen Cham, James M. Rehg