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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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Bibliographic Details
Main Authors:	Aldahoul, Nouar, Karim, Hezerul Abdul, Md Sabri, Aznul Qalid, Tan, Myles Joshua Toledo, Momo, Mhd Adel, Fermin, Jamie Ledesma
Format:	Article
Published:	Institute of Electrical and Electronics Engineers 2022
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://eprints.um.edu.my/42086/
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