Results 41 to 50 of about 5,171 (172)
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
UAV-GESTURE: A Dataset for UAV Control and Gesture Recognition [PDF]
, 2019 Current UAV-recorded datasets are mostly limited to action recognition and object tracking, whereas the gesture signals datasets were mostly recorded in indoor spaces.
A Robicquet +6 more
core +2 more sources
Sign language recognition with transformer networks [PDF]
, 2020 Sign languages are complex languages. Research into them is ongoing, supported by large video corpora of which only small parts are annotated. Sign language recognition can be used to speed up the annotation process of these corpora, in order to aid ...
Dambre, Joni +2 more
core
Autonomous computational intelligence-based behaviour recognition in security and surveillance [PDF]
, 2018 This paper presents a novel approach to sensing both suspicious, and task-specific behaviours through the use of advanced computational intelligence techniques.
Cao, Chen, Kim, Simon, Sina, Wei, Xia
core +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
Sensors, 2023 Human action recognition (HAR) is one of the most active research topics in the field of computer vision. Even though this area is well-researched, HAR algorithms such as 3D Convolution Neural Networks (CNN), Two-stream Networks, and CNN-LSTM (Long Short-
Najeeb ur Rehman Malik +3 more
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