Results 51 to 60 of about 103,607 (290)

Spatiotemporal Relation Networks for Video Action Recognition

IEEE Access, 2019
Two-stream convolutional networks have shown strong performance in a video action recognition task for its ability to capture spatial and temporal features simultaneously.
Zheng Liu, Haifeng Hu
doaj   +1 more source

Depth-adaptive supervoxels for RGB-D video segmentation [PDF]

2013 IEEE International Conference on Image Processing, 2013
In this paper we present a method for automatic video segmentation of RGB-D video streams provided by combined colour and depth sensors like the Microsoft Kinect. To this end, we combine position and normal information from the depth sensor with colour information to compute temporally stable, depth-adaptive superpixels and combine them into a graph of
Weikersdorfer, D., Schick, Alexander, Cremers, D.   +2 more
openaire   +1 more source

Convolutional spatio-temporal sequential inference model for human interaction behavior recognition

Frontiers in Computer Science
IntroductionHuman 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, Rulong Fan, Xiaoling Han, Xueying Cui   +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, Shouqian Sun, Honglie Wang, Xurui Zhang, Chao Li, Xianfu Zhang   +5 more
doaj   +1 more source

Lithium Intercalation in the Anisotropic Van Der Waals Semiconductor CrSBr

Advanced Functional Materials, EarlyView.
We report the lithium intercalation in the layered van der Waals crystal CrSBr, revealing strongly anisotropic ion‐migration dynamics. Optical and electrical characterization of exfoliated CrSBr shows lithium diffusion coefficients that differ by more than an order of magnitude along a‐ and b‐directions, consistent with molecular dynamics simulations ...
Kseniia Mosina, Aljoscha Söll, Jiří Šturala, Martin Veselý, Petr Levinsky, Ondřej Kaman, Florian Dirnberger, Giuliana Materzanini, Nicola Marzari, Gian‐Marco Rignanese, Borna Radatović, Vlastimil Mazánek, David Sedmidubský, Zdeněk Sofer   +13 more
wiley   +1 more source

Auxiliary Task Graph Convolution Network: A Skeleton-Based Action Recognition for Practical Use

Applied Sciences
Graph 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, Seungwon Kim, Chi-Min Oh, Jeong-Min Park   +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

Ordered Pooling of Optical Flow Sequences for Action Recognition

, 2017
Training of Convolutional Neural Networks (CNNs) on long video sequences is computationally expensive due to the substantial memory requirements and the massive number of parameters that deep architectures demand.
Cherian, Anoop, Porikli, Fatih, Wang, Jue   +2 more
core   +1 more source

Optoelectronic Control of Redox Dynamics in POM Memristors for Noise‐Resilient Speech and Hardware‐Level Motion Recognition

Advanced Functional Materials, EarlyView.
Optoelectronic control of redox‐active polyoxometalate clusters in polymer matrices yields hybrid memristors with switchable volatile and non‐volatile modes, enabling reservoir‐type in‐sensor optical preprocessing and stable multilevel synapses for multimodal neuromorphic computing, including noise‐tolerant audiovisual keyword recognition and hardware ...
Xiangyu Ma, Ziyu Lv, Guohua Zhang, Zhongyue Xu, Yongbiao Zhai, Haiming Huang, Qiyan Zhang, Xiaojin Zhao, Yan Wang, Ye Zhou, Ziyu Xiong, Guanglong Ding, Wentao Xu, Su‐Ting Han   +13 more
wiley   +1 more source

One‐Dimensional Materials Supported in Two‐Dimensional Van der Waals Metal–Organic Frameworks with Optical Anisotropy Switching via Twist‐Engineering

Advanced Materials, EarlyView.
We introduce a molecular strategy to assemble one‐dimensional (1D) materials into two‐dimensional (2D) van der Waals metal–organic frameworks (MOFs). Crystals of [FeX(pzX)(bpy)] (X = Cl, F) form anisotropic 2D layers that can be mechanically exfoliated into thin sheets.
Eleni C. Mazarakioti, Carla Boix‐Constant, Iván Gómez‐Muñoz, Diego López‐Alcalá, Sergio Revuelta, Marco Ballabio, Vasileios Balos, José J. Baldoví, Enrique Cánovas, Josep Canet‐Ferrer, Guillermo Mínguez Espallargas, Samuel Mañas‐Valero, Eugenio Coronado   +12 more
wiley   +1 more source