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Openpose+LSTM

时间: 2023-08-06 21:04:28 浏览: 237

一种结合Alphapose和LSTM的人体摔倒检测模型

Many Human-Body-Fall-Dow n Detection models are faced with problems like lower adaptability and higher w rong-detection rate in different detection scenes，and targeting on these shortcomings this research proposes a Human-Body-Fall-Dow n Detection Model based on the human skeleton keypoints and the LSTM neural network． This model detects the skeleton keypoints of the continuous multi-frame human body by Alphapose，and then divides the coordinate sequences of the skeleton keypoints into X and Y coordinate sequence，and then inputs them respectively into LSTM neural network to extract the time-order character; the last step is to input the LSTM hidden layer output vector into a full connection layer to obtain the results． This research uses public data set M uHAViMAS and Le2i to execute this experiment，and compares itself with many other detection models． The results show that this model has relatively high detection accuracy in multiple scenes，multiple view s，and multiple poses of falling．

Openpose是一个用于人体姿态估计的开源库，它可以在视频中检测出人体的关键点。而LSTM是一种循环神经网络，用于对时间序列数据进行建模和预测。在动作分类中，可以使用Openpose提取每一帧中的关键点，并将这些关键点序列输入到LSTM网络中进行动作分类。这种结合使用Openpose和LSTM的方法可以提高动作分类的准确率。\[2\] #### 引用[.reference_title] - *1* [视频行为识别检测综述 IDT TSN CNN-LSTM C3D CDC R-C3D](https://blog.csdn.net/Bruce_0712/article/details/106349371)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v91^control_2,239^v3^insert_chatgpt"}} ] [.reference_item] - *2* *3* [基于Detectron2和LSTM的人体动作识别](https://blog.csdn.net/weixin_38346042/article/details/124899933)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v91^control_2,239^v3^insert_chatgpt"}} ] [.reference_item] [ .reference_list ]

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