BGR IMAGES BASED HUMAN FALL DETECTION USING RESNET-50 AND LSTM
by Divya Singh, Meenu Gupta, Rakesh Kumar
This book presents an exploration of image-based human fall detection using ResNet-50 and LSTM. It introduces a computer vision and deep learning approach centered on visual analysis and sequential modeling, offering a focused resource for readers interested in automated detection systems and applied artificial intelligence.
About This Book
This book focuses on image-based human fall detection using ResNet-50 and LSTM architectures.
It brings together computer vision and deep learning concepts for examining human movement in visual data.
ResNet-50 represents the image-based modeling component, while LSTM supports the analysis of sequential information.
The topic is relevant to readers exploring automated fall detection and applied machine learning.
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