[6] Newell, A., Yang, K., & Deng, J. (2016, October). Stacked hourglass networks for human pose estimation. InEuropean conference on computer vision(pp. 483-499). Springer, Cham. [7] Xiao, B., Wu, H., & Wei, Y. (2018). Simple baselines for human pose estimation and tracking...
We generate more than 6 million frames together with ground truth pose, depth maps, and segmentation masks. We show that CNNs trained on our synthetic dataset allow for accurate human depth estimation and human part segmentation in real RGB images. Our results and the new dataset open up new...
个人Repo(Python版,不含有训练代码): https://github.com/PanJinquan/Human-Keypoints-Detection 个人Repo(C++版):https://github.com/PanJinquan/Human-Pose-Estimation-Lite-cpp 2D Pose人体关键点检测Android Demo APP体检(支持CPU多线程和GPU加速,可实时检测) 2D Pose人体关键点...
2D Human Pose Estimation (以下简称 2D HPE )旨在从图像或者视频中预测人体关节点(或称关键点,比如头,左手,右脚等)的二维空间位置坐标。2D HPE 的应用场景非常广泛,包括动作识别,动画生成,增强现实等。 传统的 2D HPE 算法,设计手工特征提取图像信息,从而进行关键点的检测。近年来随着深度学习的快速发展,基于深度...
In recent years, several excellent works dealing with human pose estimation in complex multi-person scenes have focus on the problems of complex backgrounds and the multiplayer scene. However, when facing the scene of multi-person interaction, the results of current mainstream algorithms are still ...
人体关键点检测(Human Keypoints Detection)又称为人体姿态估计2D Pose,是计算机视觉中一个相对基础的任务,是人体动作识别、行为分析、人机交互等的前置任务。一般情况下可以将人体关键点检测细分为单人/多人关键点检测、2D/3D关键点检测,同时有算法在完成关键点检测之后还会进行关键点的跟踪,也被称为人体姿态跟踪。
Compositional Human Pose Regression (MSRA, 2018)[8] MSRA Xiao Sun组的工作,从输出表示下手,由于heatmap表示的量化误差和坐标表示的效果不好,作者提出使用bones as representation。 bones比joints更稳定,并且可以包含更多的几何信息,为了避免直接计算bones的MSE所引起的累积误差,作者...
人体姿态估计(Human Pose Estimation,下称HPE)是计算机视觉中一个很基础的问题,也是许多高层语义任务和下游应用场景的基础。顾名思义,可以理解为对“人体”的姿态(关键点,比如头,左手,右脚等)的位置估计。 HPE分为两大类:2D HPE和3D HPE。图1显示了HPE的深度学习方法的分类。根据人数,2D HPE方法分为单人和多人...
Human pose estimation (HPE) in the top-view using fisheye cameras presents a promising and innovative application domain. However, the availability of datasets capturing this viewpoint is extremely limited, especially those with high-quality 2D and 3D keypoint annotations. Addressing this gap, we ...
What is Human Pose Estimation? Human pose estimation is the process of estimating the configuration of the body (pose) from a single, typically monocular, image. Background. Human pose estimation is one of the key problems in computer vision that has been studied for well over 15 years. The...