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» Visual Tracking with Online Multiple Instance Learning
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CVPR
2007
IEEE
14 years 1 months ago
Multiple Target Tracking Using Spatio-Temporal Markov Chain Monte Carlo Data Association
We propose a framework for general multiple target tracking, where the input is a set of candidate regions in each frame, as obtained from a state of the art background learning, ...
Qian Yu, Gérard G. Medioni, Isaac Cohen
CVPR
2007
IEEE
14 years 9 months ago
An Exemplar Model for Learning Object Classes
We introduce an exemplar model that can learn and generate a region of interest around class instances in a training set, given only a set of images containing the visual class. T...
Ondrej Chum, Andrew Zisserman
ICDM
2010
IEEE
228views Data Mining» more  ICDM 2010»
13 years 5 months ago
Active Learning from Multiple Noisy Labelers with Varied Costs
In active learning, where a learning algorithm has to purchase the labels of its training examples, it is often assumed that there is only one labeler available to label examples, ...
Yaling Zheng, Stephen D. Scott, Kun Deng
ECCV
2010
Springer
14 years 19 days ago
A Stochastic Graph Evolution Framework for Robust Multi-Target Tracking
Maintaining the stability of tracks on multiple targets in video over extended time periods remains a challenging problem. A few methods which have recently shown encouraging resul...
SAMT
2007
Springer
99views Multimedia» more  SAMT 2007»
14 years 1 months ago
User-Centric Retrieval of Visual Surveillance Content
Abstract—An interactive retrieval method adapted to surveillance video is presented. The approach is formulated as an iterative SVM classification and builds upon the two major ...
Jérôme Meessen, Xavier Desurmont, Chr...