Open Access
A probabilistic model for an EM-like object tracking algorithm using color histograms
Z. Zivkovic,B.J.A. Kröse +1 more
TLDR
A generative probabilistic model of the appearance of a nonrigid object and an iterative procedure for searching for the maximum likelihood estimate of the position and shape of the tracked object in a new image are presented.Abstract:
In this paper we present a generative probabilistic model of the appearance of a nonrigid object and an iterative procedure for searching for the maximum likelihood (ML) estimate of the position and shape of the tracked object in a new image. The shape of the object in an image is approximated by an ellipse that is described by a full covariance matrix. The appearance of the object is described by a color-histogram. The algorithm is used for tracking persons in image sequences.read more
Citations
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Proceedings ArticleDOI
Keeping Track of Humans: Have I Seen This Person Before?
W. Zajdel,Z. Zivkovic,Ben Kröse +2 more
TL;DR: A method for tracking humans when they are within the field of view of the camera, based on motion and color cues is developed, and a dynamic Bayesian network for such a global tracking task is developed.
Journal ArticleDOI
Object Tracking in Satellite Videos by Improved Correlation Filters With Motion Estimations
TL;DR: This article addresses the problem of fast object tracking in satellite videos, by developing a novel tracking algorithm based on correlation filters embedded with motion estimations, based on the kernelized correlation filter (KCF).
Journal ArticleDOI
Online updating appearance generative mixture model for meanshift tracking
Jilin Tu,Hai Tao,Thomas S. Huang +2 more
TL;DR: Experiments verify that the online histogram generative model constrained by key appearance histograms alleviates the drifting problem often encountered in tracking with online updating, that the enhanced meanshift algorithm is capable of tracking object of varying appearances more robustly and accurately, and that the tracking algorithm can infer additional information such as the object poses.
Journal ArticleDOI
Collaborative control of the MANUS manipulator
TL;DR: Results of preliminary user trials show that this technique allows severely disabled persons to manipulate objects more easily, especially for users with very limited rest functionality.
Book ChapterDOI
Spatiotemporal oriented energy features for visual tracking
Kevin Cannons,Richard P. Wildes +1 more
TL;DR: A novel feature set for visual tracking that is derived from "oriented energies" is presented, using energy measures to capture a target's multiscale orientation structure across both space and time, yielding a rich description of its spatiotemporal characteristics.
References
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Journal ArticleDOI
Maximum likelihood from incomplete data via the EM algorithm
Book
Practical Methods of Optimization
TL;DR: The aim of this book is to provide a Discussion of Constrained Optimization and its Applications to Linear Programming and Other Optimization Problems.
Journal ArticleDOI
Color indexing
Michael J. Swain,Dana H. Ballard +1 more
TL;DR: In this paper, color histograms of multicolored objects provide a robust, efficient cue for indexing into a large database of models, and they can differentiate among a large number of objects.
Proceedings ArticleDOI
Real-time tracking of non-rigid objects using mean shift
TL;DR: The theoretical analysis of the approach shows that it relates to the Bayesian framework while providing a practical, fast and efficient solution for real time tracking of non-rigid objects seen from a moving camera.
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