Time-Series Tracking of Plant Organs Based on the Temporal Correlation of 3D Gaussian

Language	Japanese
Type	Proceedings of Japanese Conferences
Authors	Reita Imayoshi, Yuzuko Utsumi, Masakazu Iwamura
Title	Time-Series Tracking of Plant Organs Based on the Temporal Correlation of 3D Gaussian
Journal	第29回画像の認識・理解シンポジウム（MIRU2026）予稿集
Presentation number	IS3-038
Pages	p.97
Number of pages	5
Location	出島メッセ長崎
Reviewed	Not reviewed
Presentation type	Poster
Date	August 2026
Research fields	3D Reconstruction, Plant image processing
Key	`Imayoshi2026` (id=2127)

Abstract

This study aims to track individual plant organs in 3D time-series data, which is crucial for yield prediction and growth diagnosis. Because plants are non-rigid objects whose growth involves topological changes, conventional object tracking methods cannot be applied, and organ tracking has not yet been achieved. Therefore, in this study, we represent 3D time-series plant data as 3D Gaussians and propose a method for tracking based on the temporal changes in the group of Gaussians representing the organs.

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{authors}{authors_and}{authors_ja}{authors_ja_tight}{authors_en}{authors_en_and}{authors_tight}{first_author}{title}{title_ja}{title_en}{journal}{journal_ja}{journal_en}{book_title}{volume}{number}{series}{presen_id}{pages}{pp}{num_pages}{year}{month}{month_en}{month_short}{ym}{date}{date_ja}{date_en}{publisher}{address}{location}{review}{review_ja}{review_en}{reviewed_mark}{presen_type}{type}{type_label}{doi}{url}{key}{awards}

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@inproceedings{Imayoshi2026, author = {Imayoshi, Reita and Utsumi, Yuzuko and Iwamura, Masakazu}, title = {Time-Series Tracking of Plant Organs Based on the Temporal Correlation of 3D Gaussian}, booktitle = {第29回画像の認識・理解シンポジウム（MIRU2026）予稿集}, year = 2026, month = aug, pages = {97}, numpages = {5}, address = {出島メッセ長崎}, note = {IS3-038} }

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