ロード中...
A novel human activity recognition architecture: using residual inception ConvLSTM layer
Abstract Human activity recognition (HAR) is a very challenging problem that requires identifying an activity performed by a single individual or a group of people observed from spatiotemporal data. Many computer vision applications require a solution to HAR. To name a few, surveillance systems, med...
保存先:
| 主要な著者: | , , |
|---|---|
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
SpringerOpen
2022-05-01
|
| シリーズ: | Journal of Engineering and Applied Science |
| 主題: | |
| オンライン･アクセス: | https://doi.org/10.1186/s44147-022-00098-0 |
| タグ: |
タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!
|