Human fall detection using spatial temporal graph convolution
Published • Jun 7, 2023
NobleIDNI8P47W63R31S15
Authors:,
Sai Zhang
Chongyang Zhang
Abstract
Falls are a growing social problem and have become a hot topic in healthcare. Thanks to recent advances in deep convolutional neural networks, the accuracy of video-based fall detection has been greatly improved. However, these methods are affected by illumination and complex backgrounds. Video angl...
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