Human action recognition is one of the hottest topics in the research field, so there are many relevant review papers illustrating the multi-modality of data, the selection of feature vectors, and the pros and cons of classification networks. With the continuous development of relational networks,...
We begin with a review of skeleton extraction, which is the basis of skeleton-based action recognition but is often over- looked in previous literature. We point out several aspects that should be considered when choosing a skeleton extrac- tor and motivate the use of 2D skeletons in Pose...
In recent years, with the development of deep learning technology, many novel skeleton-based human action recognition algorithms have been proposed, which has greatly promoted the development of this field. This paper aims to give a compr
Semantic action recognition aims to classify actions based on the associated semantics, which can be applied in video captioning and human-machine interact... L Zhou,T Jiang - 《Iet Computer Vision》 被引量: 0发表: 2023年 A Review on Computer Vision-Based Methods for Human Action Recognition ...
Skeleton-based Human Keypoints Detection and Action Similarity Assessment for Fitness Assistance Note: We don't have the ability to review paper PubDate: January 2022 Teams: Chinese Academy of Sciences;Ningbo University of Technology Writers: Jiangkun Zhou; Wei Feng; Qujiang Lei; Xianyong Liu; ...
Paper tables with annotated results for UNIK: A Unified Framework for Real-world Skeleton-based Action Recognition
In this paper, we study the problem of one-shot skeleton-based action recognition, which poses unique challenges in learning transferable representation from base classes to novel classes, particularly for fine-grained actions. Existing meta-learning frameworks typically rely on the body-level ...
In [17], each posture of skeletal activity is represented by a histogram of 3D joint locations and trained discrete hidden markov models (HMMs) to classify sequential postures into action types. Yun et al. [18] evaluate a number of Background In this section, we briefly review the spatial ...
3D skeleton-based human action recognition has attracted much attention due to a wide spectrum of promising applications in terms of depth sensors. This paper, based on the principle of the better viewpoint the better action recognition performance, devises a HDS-SP descriptor for skeleton-based hu...
Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action Recognition in CVPR19 Note PyTorch version should be 0.3! For PyTorch0.4 or higher, the codes need to be modified. Now we have updated the code to >=Pytorch0.4. A new model named AAGCN is added, which can achieve ...