Results 41 to 50 of about 5,633 (210)
Two-dimensional video-based analysis of human gait using pose estimation.
PLoS Computational Biology, 2021 Human gait analysis is often conducted in clinical and basic research, but many common approaches (e.g., three-dimensional motion capture, wearables) are expensive, immobile, data-limited, and require expertise.
Jan Stenum +2 more
doaj +1 more source
Real-time marker-less multi-person 3D pose estimation in RGB-Depth camera networks [PDF]
, 2017 This paper proposes a novel system to estimate and track the 3D poses of multiple persons in calibrated RGB-Depth camera networks. The multi-view 3D pose of each person is computed by a central node which receives the single-view outcomes from each ...
A Elhayek +15 more
core +2 more sources
3D Tracking of Human Motion Using Visual Skeletonization and Stereoscopic Vision
Frontiers in Bioengineering and Biotechnology, 2020 The design of markerless systems to reconstruct human motion in a timely, unobtrusive and externally valid manner is still an open challenge. Artificial intelligence algorithms based on automatic landmarks identification on video images opened to a new ...
Matteo Zago +5 more
doaj +1 more source
Emergent Leadership Detection Across Datasets [PDF]
, 2019 Automatic detection of emergent leaders in small groups from nonverbal behaviour is a growing research topic in social signal processing but existing methods were evaluated on single datasets -- an unrealistic assumption for real-world applications in ...
Bulling, Andreas, Müller, Philipp
core +3 more sources
Evaluation of 3D Markerless Motion Capture Accuracy Using OpenPose With Multiple Video Cameras
Frontiers in Sports and Active Living, 2020 There is a need within human movement sciences for a markerless motion capture system, which is easy to use and sufficiently accurate to evaluate motor performance.
Nobuyasu Nakano +9 more
doaj +1 more source
Sensors, 2022 The adoption of computer vision pose estimation approaches, used to identify keypoint locations which are intended to reflect the necessary anatomical landmarks relied upon by biomechanists for musculoskeletal modelling, has gained increasing traction in
Marion Mundt +3 more
doaj +1 more source
OpenPose: Realtime Multi-Person 2D Pose Estimation Using Part Affinity Fields [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021 Realtime multi-person 2D pose estimation is a key component in enabling machines to have an understanding of people in images and videos. In this work, we present a realtime approach to detect the 2D pose of multiple people in an image. The proposed method uses a nonparametric representation, which we refer to as Part Affinity Fields (PAFs), to learn ...
Zhe Cao +4 more
openaire +3 more sources
Anthropometric Ratios for Lower-Body Detection Based on Deep Learning and Traditional Methods
Applied Sciences, 2022 Lower-body detection can be useful in many applications, such as the detection of falling and injuries during exercises. However, it can be challenging to detect the lower-body, especially under various lighting and occlusion conditions.
Jermphiphut Jaruenpunyasak +2 more
doaj +1 more source
Life Signs Detector Using a Drone in Disaster Zones
Remote Sensing, 2019 In the aftermath of a disaster, such as earthquake, flood, or avalanche, ground search for survivors is usually hampered by unstable surfaces and difficult terrain.
Ali Al-Naji +3 more
doaj +1 more source
Quality Evaluation Algorithm for Chest Compressions Based on OpenPose Model
Applied Sciences, 2022 Aiming at the problems of the low evaluation efficiency of the existing traditional cardiopulmonary resuscitation (CPR) training mode and the considerable development of machine vision technology, a quality evaluation algorithm for chest compressions ...
Siqi Zhang +4 more
doaj +1 more source