Large-scale gesture recognition with a fusion of RGB-D data based on optical flow and the C3D model
Gesture recognition has attracted great attention owing to its applications in many fields
such as Human Computer Interaction. However, in video-based gesture recognition, some …
such as Human Computer Interaction. However, in video-based gesture recognition, some …
Large-scale gesture recognition with a fusion of RGB-D data based on saliency theory and C3D model
Gesture recognition has raised wide attention in computer vision owing to its many
applications. However, the task of video-based large-scale gesture recognition yet faces …
applications. However, the task of video-based large-scale gesture recognition yet faces …
Retracted: Gesture recognition algorithm based on multi‐scale feature fusion in RGB‐D images
Y Sun, Y Weng, B Luo, G Li, B Tao… - IET Image …, 2020 - Wiley Online Library
With the rapid development of sensor technology and artificial intelligence, the video gesture
recognition technology under the background of big data makes human–computer …
recognition technology under the background of big data makes human–computer …
Large-scale gesture recognition with a fusion of rgb-d data based on the c3d model
The gesture recognition has raised attention in computer vision owing to its many
applications. However, video-based large-scale gesture recognition still faces many …
applications. However, video-based large-scale gesture recognition still faces many …
Dynamic gesture recognition based on 2D convolutional neural network and feature fusion
J Yu, M Qin, S Zhou - Scientific Reports, 2022 - nature.com
Gesture recognition is one of the most popular techniques in the field of computer vision
today. In recent years, many algorithms for gesture recognition have been proposed, but …
today. In recent years, many algorithms for gesture recognition have been proposed, but …
Gesture recognition algorithm based on multi‐scale feature fusion in RGB‐D images
Y Sun, Y Weng, B Luo, G Li, B Tao… - IET Image …, 2023 - Wiley Online Library
With the rapid development of sensor technology and artificial intelligence, the video gesture
recognition technology under the background of big data makes human‐computer …
recognition technology under the background of big data makes human‐computer …
Learning multi-temporal-scale deep information for action recognition
G Yao, T Lei, J Zhong, P Jiang - Applied Intelligence, 2019 - Springer
Action recognition in video is widely applied in video indexing, intelligent surveillance,
multimedia understanding, and other fields. A typical human action contains the …
multimedia understanding, and other fields. A typical human action contains the …
Large-scale multimodal gesture recognition using heterogeneous networks
This paper presents the method designed for the 2017 ChaLearn LAP Large-scale Gesture
Recognition Challenge. The proposed method converts a video sequence into multiple body …
Recognition Challenge. The proposed method converts a video sequence into multiple body …
[Retracted] Dynamic Gesture Recognition Algorithm Based on 3D Convolutional Neural Network
Y Liu, D Jiang, H Duan, Y Sun, G Li… - Computational …, 2021 - Wiley Online Library
Gesture recognition is one of the important ways of human‐computer interaction, which is
mainly detected by visual technology. The temporal and spatial features are extracted by …
mainly detected by visual technology. The temporal and spatial features are extracted by …
RGB-D based action recognition with light-weight 3D convolutional networks
Different from RGB videos, depth data in RGB-D videos provide key complementary
information for tristimulus visual data which potentially could achieve accuracy improvement …
information for tristimulus visual data which potentially could achieve accuracy improvement …