3D pose estimation is a challenging problem in computer vision. Most of the existing neural-
network-based approaches address color or depth images through convolution networks …

We propose a method that use a convolutional neural network (CNN) to estimate human
pose by analyzing the projection of the depth and ridge data, which represent local maxima …

It is provided a computer-implemented method for performing body posture tracking,
comprising the steps of collecting (S10) depth measurements of a body with at least one …

单目深度图无标记人体姿态估计问题, 由于动作的多样性, 人体自遮挡, 运动无规律等因素的影响
, 导致系统准确率低, 鲁棒性不强和运行效率低. 为此提出一种基于单目深度图点云的特征提取 …

Global warming is a major aspect of climate change and is caused primarily by the emission
of greenhouse gases through industrial processes and the burning of fossil fuels. The …

4 ВВЕДЕНИЕ Актуальность темы исследования. В настоящее время наметилась
устойчивая тенденция, связанная с широким внедрением систем видеоаналитики в …

Automated driving cars are emerging, increasing the need for advanced occupant
monitoring applications. A transversal need for such systems is the detection of the …

Monocular camera mark-less pose estimation system suffers low accuracy, robustness and
efficiency due to variety of action, self-occlusion of human body. A method of feature …

Advances in machine learning and contactless sensors have given rise to ambient
intelligence--physical spaces that are sensitive and responsive to the presence of humans …

The present embodiments relate to localizing a mobile device in a complex, three-
dimensional scene. By way of introduction, the present embodiments described below …