Car tracking in rear view based on bicycle specific motions in vertical vibration and angular variation via prediction and likelihood models with particle filter for rear confirmation support

Norikazu Ikoma*, Yohei Mikami, Takeshi Ikenaga

*この研究の対応する著者

研究成果: Conference contribution

2 被引用数 (Scopus)

抄録

Aiming at rear confirmation support of a bicycle, our objective is to track of a car in rear view captured by a camera settled under the saddle. Where specific motions of bicycle such as angular variation and vertical vibration are necessary to cope with. We propose a novel state space model coping with the two specific motions and utilize particle filter for state estimation. For angular variation, an elaborated system noise with variable mean having larger pulling force for larger angle. For likelihood model to cope with vertical vibration, we propose an elaborated likelihood evaluation having more sensitive feature for horizontal while less sensitive for vertical motion. Experimental result with real scene videos achieves 74.24 percent precision of the tracking.

本文言語English
ホスト出版物のタイトルWorld Automation Congress Proceedings
出版社IEEE Computer Society
ページ279-284
ページ数6
ISBN(電子版)9781889335490
DOI
出版ステータスPublished - 2014 10 24
イベント2014 World Automation Congress, WAC 2014 - Waikoloa, United States
継続期間: 2014 8 32014 8 7

出版物シリーズ

名前World Automation Congress Proceedings
ISSN(印刷版)2154-4824
ISSN(電子版)2154-4832

Conference

Conference2014 World Automation Congress, WAC 2014
国/地域United States
CityWaikoloa
Period14/8/314/8/7

ASJC Scopus subject areas

  • 制御およびシステム工学

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