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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Main Authors: | , , , , , |
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格式: | Article |
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Institute of Electrical and Electronics Engineers
2022
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在線閱讀: | http://eprints.um.edu.my/42086/ |
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