The ConvNet features extracted from these temporal templates that capture the local discriminative features of these actions are used for action detection. The efficacy of the proposed approach is demonstrated on SDUFall dataset.doi:10.1007/978-981-15-1480-7_70Earnest Paul Ijjina...
为了让读者体验训练流程,教程提供一份基于UR Fall Detection Dataset的摔倒数据进行处理并融合其他场景摔倒和非摔倒的动作场景数据集用于模型训练测试等流程。数据集位于work目录下,使用时copy到PaddleVedio目录中。 In [ ] #将work目录下挂在的数据集解压到Paddlevedio/application/PPhuman/datasets 目录下 !unzip /home...
For actions recognition used data fromLe2iFall detection Dataset (Coffee room, Home) extract skeleton-pose by AlphaPose and labeled each action frames by hand for training ST-GCN model. Pre-Trained Models Tiny-YOLO oneclass -.pth,.cfg
For actions recognition used data fromLe2iFall detection Dataset (Coffee room, Home) extract skeleton-pose by AlphaPose and labeled each action frames by hand for training ST-GCN model. Pre-Trained Models Tiny-YOLO oneclass -.pth,.cfg
2012: SBU Kinect Interaction Dataset2014: The Berkeley Multimodal Human Action DatabaseType: Kinect + Mocap; Multimodal; Multiview Camera; RGBD; Skeleton2015: TST Fall detection dataset v1Type: Kinect v2, RGBD, Skeleton joint location2015: TST TUG dataBaseType: Kinect v2, RGBD, Skeleton joint ...
For validation purposes, we analyzed four recent single-cell RNA-sequencing datasets that had not been used to derive the core inflammation program. These included neutrophils from healthy control individuals and those with mild to moderate or severe COVID-19 (Combes et al., dataset 1)40, human...
UniMiB SHAR: A new dataset for human activity recognition using acceleration data from smartphones. IEEE Sens. Lett. 2016, 2, 15-18.MICUCCI D, MOBILIO M, NAPOLETANO P. UniMiB SHAR: a... D Micucci,M Mobilio,P Napoletano 被引量: 0发表: 2016年 Fall Detection Using a Smartphone Fall is ...
A fall is an uncontrolled action in which one acutely collapses in a short time. From the training dataset, we concluded that a frame rate of 7 FPS was necessary to produce a result close to 90% recall and greater than 90% precision. Considering the limited GPU bandwidth, we were able ...
进入到PaddleDetection路径下,利用tools模块里面的train.py脚本做训练。输入!python tools/train.py -c configs/keypoint/hrnet/dark_hrnet_w32_256x192.yml即可开始训练。 训练中用到的配置参数可以在dark_hrnet_w32_256x192.yml文件中设定。比如TrainDataset中可以修改训练数据的路径。pretrain_weights可以修改预训练...
Second, the torso angle is imported to detect the start key frame of a possible fall, which is much more efficient than using a sliding window. Their approach is evaluated on the telecommunication systems team (TST) fall detection dataset v2. The results show that their approach achieves an ...