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Kalman filter for vision tracking
Open accessAbstract
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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“Further, according to [124] density maps represent ambiguous features of objects in conjested situations, resulting in an increase in error.”
From A Systematic Review of Drone Based Road Traffic Monitoring System (2022) · cites this paper as [124]
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A Systematic Review of Drone Based Road Traffic Monitoring System
Bisio, I., Garibotto, C., Haleem, H., Lavagetto, F., & Sciarrone, A. (2022) · IEEE Access · doi:10.1109/access.2022.3207282 · Cited by 139
Metadata
- Authors
- Cuevas, E., Zaldivar, D., & Rojas, R.
- Affiliations
- Freie Universität Berlin (DE)
- Venue
- Freie Universität Berlin
- Publisher
- Freie Universität Berlin
- Published
- 2005
- 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
- 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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Cite CoChat for the checks on this page, and the paper for its own findings.
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- CoChat. (2026). Citation check: Kalman filter for vision tracking. https://app.cochat.ai/papers/10.17169/refubium-22852
- The paper
- Cuevas, E., Zaldivar, D., & Rojas, R. (2005). Kalman filter for vision tracking. Freie Universität Berlin. https://doi.org/10.17169/refubium-22852
