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.