Willert, Volker ; Eggert, Julian (2022)
Dynamic Visual Motion Estimation.
In: New Advances in Machine Learning, 2010
doi: 10.26083/tuprints-00020355
Book Section, Secondary publication, Publisher's Version
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Item Type: | Book Section |
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Type of entry: | Secondary publication |
Title: | Dynamic Visual Motion Estimation |
Language: | English |
Date: | 2022 |
Place of Publication: | Darmstadt |
Year of primary publication: | 2010 |
Publisher: | IntechOpen |
Book Title: | New Advances in Machine Learning |
DOI: | 10.26083/tuprints-00020355 |
Corresponding Links: | |
Origin: | Secondary publication service |
Abstract: | Visual motion is the projection of scene movements on a visual sensor. It is a rich source of information for the analysis of a visual scene. Especially for dynamic vision systems the estimation of visual motion is important because it allows to deduce the motion of objects as well as the self-motion of the system relative to the environment. Therefore, visual motion serves as a basic information for navigation and exploration tasks, like obstacle avoidance, object tracking or visual scene decomposition into static and moving parts. |
Status: | Publisher's Version |
URN: | urn:nbn:de:tuda-tuprints-203550 |
Classification DDC: | 600 Technology, medicine, applied sciences > 620 Engineering and machine engineering |
Divisions: | 18 Department of Electrical Engineering and Information Technology > Institut für Automatisierungstechnik und Mechatronik > Control Methods and Robotics (from 01.08.2022 renamed Control Methods and Intelligent Systems) |
Date Deposited: | 21 Jan 2022 08:08 |
Last Modified: | 21 Mar 2023 10:59 |
URI: | https://tuprints.ulb.tu-darmstadt.de/id/eprint/20355 |
PPN: | 490532403 |
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