The University of Southampton
University of Southampton Institutional Repository

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.

Text
Analysing Acceleration for Motion Analysis - Accepted Manuscript
Download (32MB)

More information

Accepted/In Press date: 21 October 2017
Published date: December 2017
Venue - Dates: The 13th International Conference on Signal Image Technology & Internet Based Systems, 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: 07 Oct 2020 06:52

Export record

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×