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Analysing acceleration for motion analysis

Analysing acceleration for motion analysis
Analysing acceleration for motion analysis
Previous research in motion analysis of image sequences has generally not considered the basic nature of higher orders of motion such as acceleration. In this work, we disambiguate different types of motion, and in particular focus on acceleration. First, we show acceleration can be computed in a principled manner by extending Horn and Schunck’s algorithm for global optical flow estimation. We then demonstrate an approximation of the acceleration field using an alternative established optical flow technique, since most real motions violate the global smoothness assumption of Horn and Schunck. Furthermore, we decompose acceleration into radial and tangential components for greater depth of understanding of the motion. As a general motion descriptor, we show how acceleration provides the capability for differentiating different types of motion in video sequences.
optical flow, acceleration, motion classification
289-295
Sun, Yan
15039395-4052-4cb3-b2a8-1c7b08eff821
Hare, Jonathon
65ba2cda-eaaf-4767-a325-cd845504e5a9
Nixon, Mark
2b5b9804-5a81-462a-82e6-92ee5fa74e12
Sun, Yan
15039395-4052-4cb3-b2a8-1c7b08eff821
Hare, Jonathon
65ba2cda-eaaf-4767-a325-cd845504e5a9
Nixon, Mark
2b5b9804-5a81-462a-82e6-92ee5fa74e12

Sun, Yan, Hare, Jonathon and Nixon, Mark (2017) Analysing acceleration for motion analysis. In The 13th International Conference on Signal Image Technology & Internet Based Systems: Signal Image Technology & Internet Based Systems. pp. 289-295 .

Record type: Conference or Workshop Item (Paper)

Abstract

Previous research in motion analysis of image sequences has generally not considered the basic nature of higher orders of motion such as acceleration. In this work, we disambiguate different types of motion, and in particular focus on acceleration. First, we show acceleration can be computed in a principled manner by extending Horn and Schunck’s algorithm for global optical flow estimation. We then demonstrate an approximation of the acceleration field using an alternative established optical flow technique, since most real motions violate the global smoothness assumption of Horn and Schunck. Furthermore, we decompose acceleration into radial and tangential components for greater depth of understanding of the motion. As a general motion descriptor, we show how acceleration provides the capability for differentiating different types of motion in video sequences.

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Analysing Acceleration for Motion Analysis - Accepted Manuscript
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Accepted/In Press date: 21 October 2017
Published date: December 2017
Venue - Dates: The 13th International Conference on Signal Image Technology & Internet Based Systems, , Jaipur, India, 2017-12-04 - 2017-12-07
Keywords: optical flow, acceleration, motion classification

Identifiers

Local EPrints ID: 415806
URI: http://eprints.soton.ac.uk/id/eprint/415806
PURE UUID: 0e213adb-16b5-46f1-9e47-1de6f7060883
ORCID for Jonathon Hare: ORCID iD orcid.org/0000-0003-2921-4283
ORCID for Mark Nixon: ORCID iD orcid.org/0000-0002-9174-5934

Catalogue record

Date deposited: 24 Nov 2017 17:30
Last modified: 16 Mar 2024 05:57

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Contributors

Author: Yan Sun
Author: Jonathon Hare ORCID iD
Author: Mark Nixon ORCID iD

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