A survey on 3d skeleton-based action recognition using learning method
Three-dimensional skeleton-based action recognition (3D SAR) has gained important
attention within the computer vision community, owing to the inherent advantages offered by …
attention within the computer vision community, owing to the inherent advantages offered by …
Unified pose sequence modeling
Abstract We propose a Unified Pose Sequence Modeling approach to unify heterogeneous
human behavior understanding tasks based on pose data, eg, action recognition, 3D pose …
human behavior understanding tasks based on pose data, eg, action recognition, 3D pose …
Parallel attention interaction network for few-shot skeleton-based action recognition
Learning discriminative features from very few labeled samples to identify novel classes has
received increasing attention in skeleton-based action recognition. Existing works aim to …
received increasing attention in skeleton-based action recognition. Existing works aim to …
Human pose-based estimation, tracking and action recognition with deep learning: A survey
Human pose analysis has garnered significant attention within both the research community
and practical applications, owing to its expanding array of uses, including gaming, video …
and practical applications, owing to its expanding array of uses, including gaming, video …
Ske2Grid: skeleton-to-grid representation learning for action recognition
Abstract This paper presents Ske2Grid, a new representation learning framework for
improved skeleton-based action recognition. In Ske2Grid, we define a regular convolution …
improved skeleton-based action recognition. In Ske2Grid, we define a regular convolution …
Text-to-motion retrieval: Towards joint understanding of human motion data and natural language
Due to recent advances in pose-estimation methods, human motion can be extracted from a
common video in the form of 3D skeleton sequences. Despite wonderful application …
common video in the form of 3D skeleton sequences. Despite wonderful application …
GaitMGL: Multi-Scale Temporal Dimension and Global–Local Feature Fusion for Gait Recognition
Z Zhang, S Wei, L Xi, C Wang - Electronics, 2024 - mdpi.com
Gait recognition has received widespread attention due to its non-intrusive recognition
mechanism. Currently, most gait recognition methods use appearance-based recognition …
mechanism. Currently, most gait recognition methods use appearance-based recognition …
Joint skeletal and semantic embedding loss for micro-gesture classification
In this paper, we briefly introduce the solution of our team HFUT-VUT for the Micros-gesture
Classification in the MiGA challenge at IJCAI 2023. The micro-gesture classification task …
Classification in the MiGA challenge at IJCAI 2023. The micro-gesture classification task …
A two-stage modality fusion approach for recognizing human actions
H Zheng, B Zhang, J Lin, D Zhao… - IEEE Sensors …, 2023 - ieeexplore.ieee.org
Human action recognition (HAR) task, as one of the most representative human-centric
visual understanding tasks, has received extensive attention from academia and industry …
visual understanding tasks, has received extensive attention from academia and industry …
Indoor Human Action Recognition Based on Dual Kinect V2 and Improved Ensemble Learning Method
R Kan, H Qiu, X Liu, P Zhang, Y Wang, M Huang… - Sensors, 2023 - mdpi.com
Indoor human action recognition, essential across various applications, faces significant
challenges such as orientation constraints and identification limitations, particularly in …
challenges such as orientation constraints and identification limitations, particularly in …