A comparison between various human detectors and CNN-based feature extractors for human activity recognition via aerial captured video sequences
Human detection and activity recognition (HDAR) in videos plays an important role in various real-life applications. Recently, object detection methods have been used to detect humans in videos for subsequent decision-making applications. This paper aims to address the problem of human detection in...
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| 主要な著者: | , , , , , |
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| フォーマット: | 論文 |
| 出版事項: |
Institute of Electrical and Electronics Engineers
2022
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| 主題: | |
| オンライン･アクセス: | http://eprints.um.edu.my/42086/ |
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