| Paper Abstract and Keywords |
| Presentation |
2025-10-03 14:10
A Study on Uncertainty-Aware Track Reconstruction in Particle Tracking Using Gaussian Process Regression Yasushi Udagawa (TUS), Toshiyuki Asano (Niigata), Naoyuki Aikawa (TUS) SIS2025-39 |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
In particle tracking, occlusion often leads to fragmentation of observed tracks, which degrades the accuracy of long-term dynamic analysis.
This study proposes a temporal completion and reconstruction method for fragmented particle tracks, based on a probabilistic velocity field modeled using Gaussian Process Regression (GPR), with explicit consideration of uncertainty.
In the proposed method, particle motion is interpolated both spatially and temporally using GPR, and the uncertainty of the predicted velocity is used to dynamically adjust the search range for track reconstruction. This approach suppresses incorrect linkages while enabling flexible reconstruction in regions with limited observational information.
Experimental results demonstrate that the proposed method achieves stable extension of average track lengths and improves the identification accuracy of particle appearance and disappearance events. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
Occlusion / PIV/PTV / GPR / Uncertainry / Velocity field / / / |
| Reference Info. |
IEICE Tech. Rep., vol. 125, no. 191, SIS2025-39, pp. 83-87, Oct. 2025. |
| Paper # |
SIS2025-39 |
| Date of Issue |
2025-09-25 (SIS) |
| 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 |
SIS2025-39 |
| Conference Information |
| Committee |
ITE-BCT SIS |
| Conference Date |
2025-10-02 - 2025-10-03 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
FUKUI SENKYO bldg. |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
|
| Paper Information |
| Registration To |
SIS |
| Conference Code |
2025-10-BCT-SIS |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
A Study on Uncertainty-Aware Track Reconstruction in Particle Tracking Using Gaussian Process Regression |
| Sub Title (in English) |
|
| Keyword(1) |
Occlusion |
| Keyword(2) |
PIV/PTV |
| Keyword(3) |
GPR |
| Keyword(4) |
Uncertainry |
| Keyword(5) |
Velocity field |
| Keyword(6) |
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| Keyword(7) |
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| Keyword(8) |
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| 1st Author's Name |
Yasushi Udagawa |
| 1st Author's Affiliation |
Tokyo University of science (TUS) |
| 2nd Author's Name |
Toshiyuki Asano |
| 2nd Author's Affiliation |
Niigata Co., Ltd (Niigata) |
| 3rd Author's Name |
Naoyuki Aikawa |
| 3rd Author's Affiliation |
Tokyo University of science (TUS) |
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| Speaker |
Author-1 |
| Date Time |
2025-10-03 14:10:00 |
| Presentation Time |
20 minutes |
| Registration for |
SIS |
| Paper # |
SIS2025-39 |
| Volume (vol) |
vol.125 |
| Number (no) |
no.191 |
| Page |
pp.83-87 |
| #Pages |
5 |
| Date of Issue |
2025-09-25 (SIS) |