BGR IMAGES BASED HUMAN FALL DETECTION USING RESNET-50 AND LSTM
by Divya Singh, Meenu Gupta, Rakesh Kumar
Technical research on human fall detection using BGR images processed by ResNet-50 and LSTM neural networks for improved accuracy.
About This Book
This work examines the application of deep learning techniques for detecting human falls using BGR images.
The study utilizes the ResNet-50 architecture combined with LSTM networks to process visual data sequences.
Focus is placed on improving accuracy and reliability in automated fall detection systems.
Intended for researchers and practitioners in computer vision and machine learning fields.
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