Results 41 to 50 of about 2,707 (200)
Predict joint angle of body parts based on sequence pattern recognition source and dataset
, 2021 Predict joint angle of body parts based on sequence pattern recognition tester source and dataset:to test models you have to put all csv and npy files to data folder and select joint number in modelTester.py line 10xtrain[1-12].npy contain real-world ...
Amin Ahmadi Kasani (11407937)
core +1 more source
Application of OpenPose and deep learning for intelligent surveillance reconnaissance system
선진국방연구, 2020 In this study, defense surveillance reconnaissance systems were implemented through deep learning networks such as OpenPose and deep neural networks (DNN), convolutional neural networks (CNN), and long short-term memory (LSTM).
Kyujung Choi, Suyeong Oh, Chaebong Sohn
doaj +3 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
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
A Study on How to Utilize Digital Twin-based Machine Learning and Openpose for Poppy Robot’s Motion Control [PDF]
한국정밀공학회지The key components of smart manufacturing, a central concept in the era of the 4th Industrial Revolution, consist of digital twin technology, AI, and computer vision technology. In this study, these technologies were utilized to govern the Poppy robot, a
Bum Jin Kim, Seok Kim, Young Tae Cho
doaj +1 more source
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
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
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
Meikuang AnquanA lightweight human pose recognition model based on OpenPose improvement is proposed to address the difficulty of intelligent supervision of abnormal behaviors of coal mine workers.
Liang YANG +3 more
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Research on the application of OpenPose in escalator safety systems
Journal of Physics: Conference Series, 2022 Abstract This paper describes the application of the OpenPose based human pose detection model in escalator safety systems. The YOLO target detection is used to obtain the position of the human body in the image, and then the human limb information is extracted by OpenPose, and the human joint connection algorithm connects the identified
openaire +1 more source