Paper Abstract and Keywords |
Presentation |
2016-05-20 10:00
High Accuracy Feature Point Tracking for Omnidirectional Image Sequence Hiroshi Tada, Koichi Ichige (Yokohama Nat'l Univ.) SIP2016-16 IE2016-16 PRMU2016-16 MI2016-16 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In this paper, we propose a highly accurate feature point tracking method for omnidirectional image sequence. It is difficult to keep track of feature points, because omnidirectional image has a nonlinear distortion. A method tracking feature points after converting around feature points perspective projection has been proposed, but some frames fail to extract the same point. In the proposed method, we interpolate the optical flow by limiting the search range and predicting a position of the feature point. If the interpolated flow is incorrect we determine and remove them, we produce more accurate flows by combining some flows. Finally, performance of the proposed method is evaluated through computer simulation. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
feature point tracking / omnidirectional image / optical flow / / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 116, no. 36, SIP2016-16, pp. 85-90, May 2016. |
Paper # |
SIP2016-16 |
Date of Issue |
2016-05-12 (SIP, IE, PRMU, MI) |
ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
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SIP2016-16 IE2016-16 PRMU2016-16 MI2016-16 |
Conference Information |
Committee |
PRMU IE MI SIP |
Conference Date |
2016-05-19 - 2016-05-20 |
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(See Japanese page) |
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Paper Information |
Registration To |
SIP |
Conference Code |
2016-05-PRMU-IE-MI-SIP |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
High Accuracy Feature Point Tracking for Omnidirectional Image Sequence |
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Keyword(1) |
feature point tracking |
Keyword(2) |
omnidirectional image |
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optical flow |
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1st Author's Name |
Hiroshi Tada |
1st Author's Affiliation |
Yokohama National University (Yokohama Nat'l Univ.) |
2nd Author's Name |
Koichi Ichige |
2nd Author's Affiliation |
Yokohama National University (Yokohama Nat'l Univ.) |
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Speaker |
Author-1 |
Date Time |
2016-05-20 10:00:00 |
Presentation Time |
30 minutes |
Registration for |
SIP |
Paper # |
SIP2016-16, IE2016-16, PRMU2016-16, MI2016-16 |
Volume (vol) |
vol.116 |
Number (no) |
no.36(SIP), no.37(IE), no.38(PRMU), no.39(MI) |
Page |
pp.85-90 |
#Pages |
6 |
Date of Issue |
2016-05-12 (SIP, IE, PRMU, MI) |
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