Optical Flow-Based Moving-Static Separation in Driving Assistance Systems

Duong Nguyen, Ciaran Hughes, Jonathan Horgan

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper introduces a novel approach for a moving static separation, which can be efficiently used for outlier removal within optical flow-based 3D reconstruction or moving object detection even in the case of a moving observer. The contributions of the proposed approach include an efficient implementation, high accuracy and embedded friendliness. These characteristics make the approach very attractive for automotive safety applications based on camera systems. The paper also highlights some possible applications where the use of the moving static separation can play a key role on improving the performance.

Original languageEnglish
Title of host publicationProceedings - 2015 IEEE 18th International Conference on Intelligent Transportation Systems
Subtitle of host publicationSmart Mobility for Safety and Sustainability, ITSC 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1644-1651
Number of pages8
ISBN (Electronic)9781467365956, 9781467365956, 9781467365956, 9781467365956
DOIs
Publication statusPublished - 30 Oct 2015
Externally publishedYes
Event18th IEEE International Conference on Intelligent Transportation Systems, ITSC 2015 - Gran Canaria, Spain
Duration: 15 Sep 201518 Sep 2015

Publication series

NameIEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC
Volume2015-October

Conference

Conference18th IEEE International Conference on Intelligent Transportation Systems, ITSC 2015
Country/TerritorySpain
CityGran Canaria
Period15/09/1518/09/15

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