Results 51 to 60 of about 103,551 (264)
Convolutional spatio-temporal sequential inference model for human interaction behavior recognition
Frontiers in Computer ScienceIntroductionHuman action recognition is a critical task with broad applications and remains a challenging problem due to the complexity of modeling dynamic interactions between individuals.
Lizhong Jin +3 more
doaj +1 more source
Motion Capture Research: 3D Human Pose Recovery Based on RGB Video Sequences
Applied Sciences, 2019 Using video sequences to restore 3D human poses is of great significance in the field of motion capture. This paper proposes a novel approach to estimate 3D human action via end-to-end learning of deep convolutional neural network to calculate the ...
Xin Min +5 more
doaj +1 more source
Advanced Materials, EarlyView.A green, freeform manufacturing approach that utilizes robust aqueous two‐phase systems to create intricate and scalable photonic structures and non‐planar mechanochromic hydrogel actuators from plant‐based hydroxypropyl cellulose. This approach broadens the structural possibilities of sustainable photonic devices and mechanochromic systems, offering ...
Xiao Song +14 more
wiley +1 more source
Auxiliary Task Graph Convolution Network: A Skeleton-Based Action Recognition for Practical Use
Applied SciencesGraph convolution networks (GCNs) have been extensively researched for action recognition by estimating human skeletons from video clips. However, their image sampling methods are not practical because they require video-length information for sampling ...
Junsu Cho +3 more
doaj +1 more source
Video Human Action Recognition Algorithm Based on Trained Image CNN Features [PDF]
Jisuanji gongcheng, 2017 In order to apply Convolutional Neural Network (CNN) to video understanding,a recognition algorithm based on trained image CNN features is proposed.Image RGB data is employed to recognize human action in videos.Off-the-shelf CNN models are used to ...
CAO Jinqi,JIANG Xinghao,SUN Tanfeng
doaj +1 more source
Fine-To-Coarse Global Registration of RGB-D Scans
, 2016 RGB-D scanning of indoor environments is important for many applications, including real estate, interior design, and virtual reality. However, it is still challenging to register RGB-D images from a hand-held camera over a long video sequence into a ...
Funkhouser, Thomas, Halber, Maciej
core +1 more source
Learning without Prejudice: Avoiding Bias in Webly-Supervised Action Recognition [PDF]
, 2017 Webly-supervised learning has recently emerged as an alternative paradigm to traditional supervised learning based on large-scale datasets with manual annotations.
Ballan, Lamberto +4 more
core +2 more sources
All‐Optical Reconfigurable Physical Unclonable Function for Sustainable Security
Advanced Materials, EarlyView.An all‐optical reconfigurable physical unclonable function (PUF) is demonstrated using plasmonic coupling–induced sintering of optically trapped gold nanoparticles, where Brownian motion serves as a robust entropy source. The resulting optical PUF exhibits high encoding density, strong resistance to modeling attacks, and practical authentication ...
Jang‐Kyun Kwak +4 more
wiley +1 more source
Advanced Materials Technologies, EarlyView.This review explores advances in wearable and lab‐on‐chip technologies for breast cancer detection. Covering tactile, thermal, ultrasound, microwave, electrical impedance tomography, electrochemical, microelectromechanical, and optical systems, it highlights innovations in flexible electronics, nanomaterials, and machine learning.
Neshika Wijewardhane +4 more
wiley +1 more source
Action recognition based on 2D skeletons extracted from RGB videos [PDF]
MATEC Web of Conferences, 2019 In this paper a methodology to recognize actions based on RGB videos is proposed which takes advantages of the recent breakthrough made in deep learning.
Aubry Sophie +3 more
doaj +1 more source