Results 51 to 60 of about 5,633 (210)
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
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
Computer Vision Technologies in Movement Disorders: A Systematic Review. [PDF]
Mov Disord Clin PractAbstract Background Evaluation of movement disorders primarily relies on phenomenology. Despite refinements in diagnostic criteria, the accuracy remains suboptimal. Such a gap may be bridged by machine learning and video technology, which permit objective, quantitative, non‐invasive motor analysis.
Pecoraro PM +4 more
europepmc +2 more sources
Expressive Body Capture: 3D Hands, Face, and Body from a Single Image
, 2019 To facilitate the analysis of human actions, interactions and emotions, we compute a 3D model of human body pose, hand pose, and facial expression from a single monocular image.
Black, Michael J. +6 more
core +1 more source
VIBE: Video Inference for Human Body Pose and Shape Estimation
, 2020 Human motion is fundamental to understanding behavior. Despite progress on single-image 3D pose and shape estimation, existing video-based state-of-the-art methods fail to produce accurate and natural motion sequences due to a lack of ground-truth 3D ...
Athanasiou, Nikos +2 more
core +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
doaj +1 more source
Skeleton-based Action Recognition of People Handling Objects
, 2019 In visual surveillance systems, it is necessary to recognize the behavior of people handling objects such as a phone, a cup, or a plastic bag. In this paper, to address this problem, we propose a new framework for recognizing object-related human actions
Choi, Jin Young +3 more
core +1 more source
Validation of two-dimensional video-based inference of finger kinematics with pose estimation.
PLoS ONE, 2022 Accurate capture finger of movements for biomechanical assessments has typically been achieved within laboratory environments through the use of physical markers attached to a participant's hands.
Letizia Gionfrida +3 more
doaj +1 more source
Intelligent Performance Evaluation in Rowing Sport Using a Graph-Matching Network
Journal of Imaging, 2023 Rowing competitions require consistent rowing strokes among crew members to achieve optimal performance. However, existing motion analysis techniques often rely on wearable sensors, leading to challenges in sporter inconvenience.
Chien-Chang Chen +5 more
doaj +1 more source
Unsupervised 3D Pose Estimation with Geometric Self-Supervision
, 2019 We present an unsupervised learning approach to recover 3D human pose from 2D skeletal joints extracted from a single image. Our method does not require any multi-view image data, 3D skeletons, correspondences between 2D-3D points, or use previously ...
Agrawal, Amit +6 more
core +1 more source