Crowd Analysis
Using Deep Neural Networks to Analyze Images from CCTV Cameras
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This Book focuses on crowd behavior analysis for public safety, using advanced deep neural networks and CCTV footage. It reviews the latest CNN software tools and techniques, presenting a taxonomy of crowd behavior analysis architectures and datasets. The study proposes a novel system using CNN models like Inception-V4 and InceptionResNet, along with RNN models such as LSTM and GRU, to enhance accuracy in detecting suspicious activities and improving crowd management strategies.
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