A Comparison Between Various Human Detectors and CNN-Based Feature Extractors for Human Activity Recognition Via Aerial Captured Video Sequences
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DOI: 10.1109/access.2022.3182315
Abstract: Human detection and activity recognition (HDAR) in videos plays an important role in various real-life applications. Recently, object detection methods such as “you only look once” (YOLO), faster region based convolutional neural network (R-CNN), and… read more here.
Keywords: human detection; aerial captured; detection; activity ... See more keywords