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| ■論文No. |
CMN24026 |
| ■ページ数 |
5ページ |
■発行日
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2024/03/25 |
| ■タイトル |
3D-Aware Generalized Instance Segmentation for AI-based Video Surveillance of Smart City Roads |
| ■タイトル(英語) |
3D-Aware Generalized Instance Segmentation for AI-based Video Surveillance of Smart City Roads |
| ■著者名 |
Joshi Sharad(Hitachi India Pvt. Limited),Ganesh Ananth(Hitachi India Pvt. Limited) |
| ■著者名(英語) |
Sharad Joshi(Hitachi India Pvt. Limited),Ananth Ganesh(Hitachi India Pvt. Limited) |
| ■価格 |
会員 ¥440 一般 ¥660 |
| ■書籍種類 |
研究会(論文単位) |
| ■グループ名 |
【C】電子・情報・システム部門 通信研究会 |
| ■本誌 |
2024年3月28日-2024年3月29日通信研究会
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| ■本誌掲載ページ |
49-53ページ |
| ■原稿種別 |
英語 |
| ■電子版へのリンク |
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| ■キーワード |
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| ■要約(日本語) |
Hitachi Ltd has been building state-of-the-art computer vision solutions for manufacturing, industrial solutions, smart cities etc. AI-based visual analysis of real-world objects’ images/videos acquired using cameras is essential for various applications related to surveillance, security, and fault detection. Instance segmentation is a basic computer vision task which facilitates object-level analysis. We present a solution for generalized instance segmentation which can generalize segmentation for a larger set of categories unseen during training, unlike traditional instance segmentation methods. The proposed 3D-aware solution scales for unseen categories while saving on annotation and training costs. |
| ■要約(英語) |
Hitachi Ltd has been building state-of-the-art computer vision solutions for manufacturing, industrial solutions, smart cities etc. AI-based visual analysis of real-world objects’ images/videos acquired using cameras is essential for various applications related to surveillance, security, and fault detection. Instance segmentation is a basic computer vision task which facilitates object-level analysis. We present a solution for generalized instance segmentation which can generalize segmentation for a larger set of categories unseen during training, unlike traditional instance segmentation methods. The proposed 3D-aware solution scales for unseen categories while saving on annotation and training costs. |
| ■版 型 |
A4 |
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