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Cited by 127Video Surveillance and Tracking MethodsTarget Tracking and Data Fusion in Sensor NetworksAutonomous Vehicle Technology and Safety

The DOI matches its DataCite record.

Kalman filter for vision tracking

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Cuevas, Erik, Zaldivar, Daniel, Rojas, Raúl·2005·Freie Universität Berlin
DOI 10.17169/refubium-22852
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Abstract

The Kalman filter has been used successfully in different prediction applications or state determination of a system. One important field in computer vision is the object tracking. Different movement conditions and occlusions can hinder the vision tracking of an object. In this report we present the use of the Kalman filter in the vision tracking. We consider the capacity of the Kalman filter to allow small occlusions and also the use of the extended Kalman filter (EKF) to model complex movements of objects.

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Metadata

Authors
Cuevas, E., Zaldivar, D., & Rojas, R.
Affiliations
Freie Universität Berlin (DE)
ORCID
Venue
Freie Universität Berlin
Publisher
Freie Universität Berlin
Published
2005
DOI
10.17169/refubium-22852
OpenAlex
W9513853
Cited by
127
References
0
Citations by year
2024: 1 · 2023: 1 · 2022: 4 · 2021: 6 · 2020: 3 · 2019: 7 · 2018: 9 · 2017: 11 · 2016: 9 · 2015: 7 · 2014: 5 · 2013: 7 · 2012: 9
Type
report
Language
en
Open access
Licence
www.fu-berlin.de/sites/refubium/rechtliches/Nutzungsbedingungen
Locations
  • Refubium (Universitätsbibliothek der Freien Universität Berlin) (submittedVersion)
  • Universitätsbibliothek der FU Berlin Hochschulschriftenstelle u. Dokumentenserver
Topics
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Video Surveillance and Tracking Methods
  • Physical Sciences › Computer Science › Artificial Intelligence › Target Tracking and Data Fusion in Sensor Networks
  • Physical Sciences › Engineering › Automotive Engineering › Autonomous Vehicle Technology and Safety
Keywords
Kalman filter, extended Kalman filter, object tracking, vision tracking, occlusion handling, object motion modeling, state estimation

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