[{"title":"( 12 个子文件 6.48MB ) 深度学习驱动的复杂环境下人员异常行为精准检测系统:多目标检测跟踪实现摔倒、越线、徘徊、拥挤检测 - 基于YoloV3+DeepSort在TensorFlow框架下的应用,基于深度学习的人员异常行为检测","children":[{"title":"基于深度学习的人员异常行为检测.docx <span style='color:#111;'> 41.70KB </span>","children":null,"spread":false},{"title":"2.jpg <span style='color:#111;'> 731.00KB </span>","children":null,"spread":false},{"title":"人员异常行为检测基于深度学习的人员异常行为检测多.html <span style='color:#111;'> 2.23MB </span>","children":null,"spread":false},{"title":"1.jpg <span style='color:#111;'> 491.83KB </span>","children":null,"spread":false},{"title":"基于深度学习的人员异常行为检测系统设计与实现.docx <span style='color:#111;'> 41.85KB </span>","children":null,"spread":false},{"title":"基于深度学习的人员异常行为检测系统实现.docx <span style='color:#111;'> 41.93KB </span>","children":null,"spread":false},{"title":"基于深度学习的人员异常行为检测系.html <span style='color:#111;'> 2.23MB </span>","children":null,"spread":false},{"title":"深度学习在人员异常.html <span style='color:#111;'> 2.23MB </span>","children":null,"spread":false},{"title":"基于深度学习的人员异常行为检测系统一引.docx <span style='color:#111;'> 17.63KB </span>","children":null,"spread":false},{"title":"基于深度学习的人员异常行为检测实现与.docx <span style='color:#111;'> 42.18KB </span>","children":null,"spread":false},{"title":"深度学习在人员异常行为检测的应用与实现一引.docx <span style='color:#111;'> 18.23KB </span>","children":null,"spread":false},{"title":"3.jpg <span style='color:#111;'> 465.26KB </span>","children":null,"spread":false}],"spread":true}]