A review: Point cloud-based 3d human joints estimation
Joint estimation of the human body is suitable for many fields such as human–computer
interaction, autonomous driving, video analysis and virtual reality. Although many depth …
interaction, autonomous driving, video analysis and virtual reality. Although many depth …
A survey on activity recognition and behavior understanding in video surveillance
S Vishwakarma, A Agrawal - The Visual Computer, 2013 - Springer
This paper provides a comprehensive survey for activity recognition in video surveillance. It
starts with a description of simple and complex human activity, and various applications. The …
starts with a description of simple and complex human activity, and various applications. The …
A data-driven approach for real-time full body pose reconstruction from a depth camera
The 3D reconstruction of complex human motions from 2D color images is a challenging
and sometimes intractable problem. The pose estimation problem becomes more feasible …
and sometimes intractable problem. The pose estimation problem becomes more feasible …
Martial arts, dancing and sports dataset: A challenging stereo and multi-view dataset for 3d human pose estimation
Human pose estimation is one of the most popular research topics in the past two decades,
especially with the introduction of human pose datasets for benchmark evaluation. These …
especially with the introduction of human pose datasets for benchmark evaluation. These …
Real-time body tracking with one depth camera and inertial sensors
In recent years, the availability of inexpensive depth cameras, such as the Microsoft Kinect,
has boosted the research in monocular full body skeletal pose tracking. Unfortunately …
has boosted the research in monocular full body skeletal pose tracking. Unfortunately …
Personalization and evaluation of a real-time depth-based full body tracker
T Helten, A Baak, G Bharaj, M Müller… - … Conference on 3D …, 2013 - ieeexplore.ieee.org
Reconstructing a three-dimensional representation of human motion in real-time constitutes
an important research topic with applications in sports sciences, human-computer …
an important research topic with applications in sports sciences, human-computer …
Performance capture of interacting characters with handheld kinects
We present an algorithm for marker-less performance capture of interacting humans using
only three hand-held Kinect cameras. Our method reconstructs human skeletal poses …
only three hand-held Kinect cameras. Our method reconstructs human skeletal poses …
A joint relationship aware neural network for single-image 3D human pose estimation
X Zheng, X Chen, X Lu - IEEE Transactions on Image …, 2020 - ieeexplore.ieee.org
This paper studies the task of 3D human pose estimation from a single RGB image, which is
challenging without depth information. Recently many deep learning methods are proposed …
challenging without depth information. Recently many deep learning methods are proposed …
Human arm motion prediction for collision avoidance in a shared workspace
Industry 4.0 transforms classical industrial systems into more human-centric and digitized
systems. Close human–robot collaboration is becoming more frequent, which means …
systems. Close human–robot collaboration is becoming more frequent, which means …
Spatio-temporal pyramid graph convolutions for human action recognition and postural assessment
Recognition of human actions and associated interactions with objects and the environment
is an important problem in computer vision due to its potential applications in a variety of …
is an important problem in computer vision due to its potential applications in a variety of …