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» An Adaptive Bayesian Technique for Tracking Multiple Objects
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AVSS
2009
IEEE
14 years 2 months ago
Context-Based Reasoning Using Ontologies to Adapt Visual Tracking in Surveillance
— Classical tracking methods are often insufficient when dealing with complex scenarios. In order to solve tracking errors, innovative techniques based on the use of information ...
Juan Gómez-Romero, Miguel A. Patricio, Jes&...
AMFG
2005
IEEE
218views Biometrics» more  AMFG 2005»
14 years 1 months ago
Online Feature Selection Using Mutual Information for Real-Time Multi-view Object Tracking
It has been shown that features can be selected adaptively for object tracking in changing environments [1]. We propose to use the variance of Mutual Information [2] for online fea...
Alex Po Leung, Shaogang Gong
ICPR
2002
IEEE
14 years 8 months ago
Object Segmentation and Tracking Using Video Locales
In this paper, we present a new technique based on feature localization for segmenting and tracking objects in videos. A video locale is a sequence of image feature locales that s...
James Au, Ze-Nian Li, Mark S. Drew
ICCV
2007
IEEE
14 years 9 months ago
Assisted Video Object Labeling By Joint Tracking of Regions and Keypoints
Manual labeling of objects in videos is a tedious task. We present an approach which automatically propagates the labels from a single frame to the next ones. We tackle the challe...
Julien Fauqueur, Gabriel J. Brostow, Roberto Cipol...
ASSETS
2006
ACM
14 years 1 months ago
Lecture adaptation for students with visual disabilities using high-resolution photography
Visual content in lectures can be enhanced for use by students with visual disabilities by using high-resolution digital still cameras. This paper presents a system which uses two...
Gregory Hughes, Peter Robinson