Annette Stahl, Ole Morten Aamo


In this paper we present an optimal control approach for image motion estimation in an explorative and novel way. The variational formulation incorporates physical prior knowledge by giving preference to motion fields that satisfy appropriate equations of motion. Although the framework presented is flexible, we employ the Burgers equation from fluid mechanics as physical prior knowledge in this study. Our control based formulation evaluates entire spatio-temporal image sequences of moving objects. In order to explore the capability of the algorithm to obtain desired image motion estimations, we perform numerical experiments on synthetic and real image sequences. The comparison of our results with other well-known methods demonstrates the ability of the optical control formulation to determine image motion from video and image sequences, and indicates improved performance.


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Paper Citation

in Harvard Style

Stahl A. and Morten Aamo O. (2010). IMAGE MOTION ESTIMATION USING OPTIMAL FLOW CONTROL . In Proceedings of the 7th International Conference on Informatics in Control, Automation and Robotics - Volume 3: ICINCO, ISBN 978-989-8425-02-7, pages 14-21. DOI: 10.5220/0002937700140021

in Bibtex Style

author={Annette Stahl and Ole Morten Aamo},
booktitle={Proceedings of the 7th International Conference on Informatics in Control, Automation and Robotics - Volume 3: ICINCO,},

in EndNote Style

JO - Proceedings of the 7th International Conference on Informatics in Control, Automation and Robotics - Volume 3: ICINCO,
SN - 978-989-8425-02-7
AU - Stahl A.
AU - Morten Aamo O.
PY - 2010
SP - 14
EP - 21
DO - 10.5220/0002937700140021