Information: Join today and make your research activities more affordable! Technical workshop participation fees and annual registration fees are available at member rates.
Notice: [Important] Announcement of Changes to Registration Fee Payment and Manuscript Upload Procedures for IEICE Technical Meetings
IEICE Technical Committee Submission System
Conference Paper's Information		 Online Proceedings
[Sign in]
Tech. Rep. Archives
 Go Top Page Go Previous   [Japanese] / [English] 

Paper Abstract and Keywords
Presentation 2025-09-18 14:45
Estimating 3D Pose and Velocity of A Fast Moving Camera/Object Under Co-existence of Lens Distortion and Rolling Shutter Effect
Daisuke Imoto, Daiki Kato, Masato Asato, Wataru Sakurai, Masakatsu Honma (NRIPS) ITS2025-7
Abstract (in Japanese) (See Japanese page) 
(in English) While the fusion of computer vision (CV) and computer graphics (CG) technology has begun to be used in forensic video analysis, existing 3D analysis methods are unable to adequately address problems caused by time differences within a single frame in analyzing 3D information of a fast moving object captured by a rolling shutter camera with strong lens distortion, such as dashcam cameras. In this paper, we propose an algorithm to systematically estimate the 3D pose and velocity of a camera or a captured object moving at high speeds of over tens of kilometers per hour in realistic video frames that contain both lens distortion and rolling shutter effects. Specifically, in contrast to the conventional PnP method, which analyzes the camera pose by using 2D-3D point correspondences obtained from an image and a 3D model of the captured object mainly based on a perspective projection model, this paper adopts a camera model that also takes lens distortion and rolling shutter into account, and proposes an algorithm to estimate the 3D position, orientation, and velocity of the high-speed moving object relative to camera, which optimizes information from multiple frames based on the minimization criterion of both the reprojection error and speed difference. The proposed method makes it possible to reproduce images using CG from video information recorded by a dashboard camera, etc., thereby making it possible to estimate in a well-posed manner the three-dimensional position, orientation, and velocity of a fast-moving camera or a captured object.
Keyword (in Japanese) (See Japanese page) 
(in English) 3D camera calibration / Lens distortion / Rolling shutter / Forensic science / Camera / Spatio-temporal property / Point correspondence /  
Reference Info. IEICE Tech. Rep., vol. 125, no. 183, ITS2025-7, pp. 7-12, Sept. 2025.
Paper # ITS2025-7 
Date of Issue 2025-09-11 (ITS) 
ISSN 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)
Download PDF ITS2025-7

Conference Information
Committee ITS IPSJ-ITS IEE-ITS  
Conference Date 2025-09-18 - 2025-09-19 
Place (in Japanese) (See Japanese page) 
Place (in English) CRANTS Gunma Univ. (in Aramaki) 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To ITS 
Conference Code 2025-09-ITS-ITS-ITS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Estimating 3D Pose and Velocity of A Fast Moving Camera/Object Under Co-existence of Lens Distortion and Rolling Shutter Effect 
Sub Title (in English)  
Keyword(1) 3D camera calibration  
Keyword(2) Lens distortion  
Keyword(3) Rolling shutter  
Keyword(4) Forensic science  
Keyword(5) Camera  
Keyword(6) Spatio-temporal property  
Keyword(7) Point correspondence  
Keyword(8)  
1st Author's Name Daisuke Imoto  
1st Author's Affiliation National Research Institute of Police Science (NRIPS)
2nd Author's Name Daiki Kato  
2nd Author's Affiliation National Research Institute of Police Science (NRIPS)
3rd Author's Name Masato Asato  
3rd Author's Affiliation National Research Institute of Police Science (NRIPS)
4th Author's Name Wataru Sakurai  
4th Author's Affiliation National Research Institute of Police Science (NRIPS)
5th Author's Name Masakatsu Honma  
5th Author's Affiliation National Research Institute of Police Science (NRIPS)
6th Author's Name  
6th Author's Affiliation ()
7th Author's Name  
7th Author's Affiliation ()
8th Author's Name  
8th Author's Affiliation ()
9th Author's Name  
9th Author's Affiliation ()
10th Author's Name  
10th Author's Affiliation ()
11th Author's Name  
11th Author's Affiliation ()
12th Author's Name  
12th Author's Affiliation ()
13th Author's Name  
13th Author's Affiliation ()
14th Author's Name  
14th Author's Affiliation ()
15th Author's Name  
15th Author's Affiliation ()
16th Author's Name  
16th Author's Affiliation ()
17th Author's Name  
17th Author's Affiliation ()
18th Author's Name  
18th Author's Affiliation ()
19th Author's Name  
19th Author's Affiliation ()
20th Author's Name  
20th Author's Affiliation ()
21st Author's Name  
21st Author's Affiliation ()
22nd Author's Name  
22nd Author's Affiliation ()
23rd Author's Name  
23rd Author's Affiliation ()
24th Author's Name  
24th Author's Affiliation ()
25th Author's Name  
25th Author's Affiliation ()
26th Author's Name / /
26th Author's Affiliation ()
()
27th Author's Name / /
27th Author's Affiliation ()
()
28th Author's Name / /
28th Author's Affiliation ()
()
29th Author's Name / /
29th Author's Affiliation ()
()
30th Author's Name / /
30th Author's Affiliation ()
()
31st Author's Name / /
31st Author's Affiliation ()
()
32nd Author's Name / /
32nd Author's Affiliation ()
()
33rd Author's Name / /
33rd Author's Affiliation ()
()
34th Author's Name / /
34th Author's Affiliation ()
()
35th Author's Name / /
35th Author's Affiliation ()
()
36th Author's Name / /
36th Author's Affiliation ()
()
Speaker Author-1 
Date Time 2025-09-18 14:45:00 
Presentation Time 25 minutes 
Registration for ITS 
Paper # ITS2025-7 
Volume (vol) vol.125 
Number (no) no.183 
Page pp.7-12 
#Pages 6 
Date of Issue 2025-09-11 (ITS) 

[Return to Top Page]

[Return to IEICE Web Page]
The Institute of Electronics, Information and Communication Engineers (IEICE), Japan