被引量: 0发表: 2023年 Quater-GCN: Enhancing 3D Human Pose Estimation with Orientation and Semi-supervised Training 3D human pose estimation is a vital task in computer vision, involving the prediction of human joint positions from images or videos to reconstruct a skele... X Song,Z Li,S Ch...
1、处理准备自己数据集 数据集要求将相同类别的视频放到同一文件夹,我这里用到一个较老的数据集:training_lib_KTH.zip,六种行为放到六个不同文件夹。 用于st-gcn训练的数据集视频帧数不要超过300帧,5~6s的视频时长比较好,不要10几s的视频时长。要不然会报index 300 is out of bounds for axis 1 with siz...
time videos for the Human Fall Detection and monitoring system using three pre-trained models: (i) TinyYOLOv3-ones, (ii) AlphaPose and (iii) ST-GCN... A Jeganathan,J Chellaiah - 《Journal of Intelligent & Fuzzy Systems Applications in Engineering & Technology》 被引量: 0发表: 2023年 ...
This benchmark consisted of 37,920 training sample videos collected by cameras 2 and 3 and 18,960 validation sample videos collected by camera 1. NTU RGB + D120. This dataset [32] was an extended version of the NTU RGB + D60 dataset (from 60 classes to 120 classes), containing 114,...