| アイテムタイプ |
学術雑誌論文 / Journal Article(1) |
| 公開日 |
2025-03-31 |
| タイトル |
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タイトル |
Customized Tracking Algorithm for Robust Cattle Detection and Tracking in Occlusion Environments |
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言語 |
en |
| 言語 |
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言語 |
eng |
| キーワード |
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言語 |
en |
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キーワード |
cattle detection |
| キーワード |
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言語 |
en |
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キーワード |
customized tracking algorithm (CTA) |
| キーワード |
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言語 |
en |
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キーワード |
miss detection |
| キーワード |
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言語 |
en |
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キーワード |
occlusion |
| キーワード |
|
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言語 |
en |
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キーワード |
track-ID increment cases |
| キーワード |
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言語 |
en |
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キーワード |
tracking |
| 資源タイプ |
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資源タイプ |
journal article |
| アクセス権 |
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アクセス権 |
open access |
| 著者 |
Mg, Wai Hnin Eaindrar
Tin, Pyke
相川, 勝
WEKO
12201
e-Rad_Researcher
20976641
| ja |
相川, 勝
宮崎大学
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| ja-Kana |
アイカワ, マサル
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| en |
Aikawa, Masaru
University of Miyazaki
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Search repository
小林, 郁雄
WEKO
5214
e-Rad_Researcher
20576293
| ja |
小林, 郁雄
宮崎大学
|
| ja-Kana |
コバヤシ, イクオ
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| en |
Kobayashi, Ikuo
University of Miyazaki
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Search repository
堀井, 洋一郎
Honkawa, Kazuyuki
ティ ティ ズイン
WEKO
31575
e-Rad_Researcher
30536959
| ja |
ティ ティ ズイン
宮崎大学
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| ja-Kana |
ティ ティ ズイン
|
| en |
Thi Thi Zin
University of Miyazaki
|
Search repository
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| 抄録 |
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内容記述タイプ |
Abstract |
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内容記述 |
Ensuring precise calving time prediction necessitates the adoption of an automatic and precisely accurate cattle tracking system. Nowadays, cattle tracking can be challenging due to the complexity of their environment and the potential for missed or false detections. Most existing deep-learning tracking algorithms face challenges when dealing with track-ID switch cases caused by cattle occlusion. To address these concerns, the proposed research endeavors to create an automatic cattle detection and tracking system by leveraging the remarkable capabilities of Detectron2 while embedding tailored modifications to make it even more effective and efficient for a variety of applications. Additionally, the study conducts a comprehensive comparison of eight distinct deep-learning tracking algorithms, with the objective of identifying the most optimal algorithm for achieving precise and efficient individual cattle tracking. This research focuses on tackling occlusion conditions and track-ID increment cases for miss detection. Through a comparison of various tracking algorithms, we discovered that Detectron2, coupled with our customized tracking algorithm (CTA), achieves 99% in detecting and tracking individual cows for handling occlusion challenges. Our algorithm stands out by successfully overcoming the challenges of miss detection and occlusion problems, making it highly reliable even during extended periods in a crowded calving pen. |
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言語 |
en |
| 内容記述 |
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内容記述タイプ |
Other |
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内容記述 |
Citation: Mg, W.H.E.; Tin, P.; Aikawa, M.; Kobayashi, I.; Horii, Y.; Honkawa, K.; Zin, T.T. Customized Tracking Algorithm for Robust Cattle Detection and Tracking in Occlusion Environments. Sensors 2024, 24, 1181. https://doi.org/10.3390/s24041181 |
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言語 |
en |
| bibliographic_information |
en : Sensors
巻 24,
号 4,
p. 1181,
発行日 2024-02-11
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| 出版者 |
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出版者 |
MDPI AG |
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言語 |
en |
| ISSN |
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収録物識別子タイプ |
EISSN |
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収録物識別子 |
1424-8220 |
| item_10001_relation_14 |
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関連タイプ |
isVersionOf |
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識別子タイプ |
DOI |
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関連識別子 |
https://doi.org/10.3390/s24041181 |
| 権利 |
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権利情報 |
© 2024 by the authors. |
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言語 |
en |
| 出版タイプ |
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出版タイプ |
VoR |
Fulltext (46 MB)
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