Skarimva: Skeleton-based Action Recognition is a Multi-view Application
Human action recognition plays an important role when developing intelligent interactions between humans and machines. While there is a lot of active research on improving the machine learning algorithms for skeleton-based action recognition, not much attention has been given to the quality of the input skeleton data itself. This work demonstrates that by making use of multiple camera views to triangulate more accurate 3D~skeletons, the performance of state-of-the-art action recognition models can be improved significantly. This suggests that the quality of the input data is currently a limiting factor for the performance of these models. Based on these results, it is argued that the cost-benefit ratio of using multiple cameras is very favorable in most practical use-cases, therefore future research in skeleton-based action recognition should consider multi-view applications as the standard setup.
Code (0)
등록된 구현이 없습니다.
Tasks
Action RecognitionSimilar Papers 제목 키워드 기반
View-Invariant Skeleton-based Action Recognition via Global-Local Contrastive Learning
Skeleton-based human action recognition has been drawing more interest recently due to its low sensitivity to appearance changes and the accessibility of more skeleton data. However, even the 3D skeletons captured in pra…
Action RecognitionContrastive LearningRepresentation LearningSkeleton Based Action Recognition+13D Skeleton-Based Action Recognition: A Review
With the inherent advantages of skeleton representation, 3D skeleton-based action recognition has become a prominent topic in the field of computer vision. However, previous reviews have predominantly adopted a model-ori…
Action RecognitionData AugmentationMambaSkeleton Based Action RecognitionView Adaptive Neural Networks for High Performance Skeleton-based Human Action Recognition
Skeleton-based human action recognition has recently attracted increasing attention thanks to the accessibility and the popularity of 3D skeleton data. One of the key challenges in skeleton-based action recognition lies …
Action RecognitionSkeleton Based Action RecognitionTemporal Action LocalizationANUBIS: Skeleton Action Recognition Dataset, Review, and Benchmark
Skeleton-based action recognition, as a subarea of action recognition, is swiftly accumulating attention and popularity. The task is to recognize actions performed by human articulation points. Compared with other data m…
Action RecognitionSkeleton Based Action RecognitionSkeleton-Contrastive 3D Action Representation Learning
This paper strives for self-supervised learning of a feature space suitable for skeleton-based action recognition. Our proposal is built upon learning invariances to input skeleton representations and various skeleton au…
Action RecognitionContrastive LearningFew-Shot Skeleton-Based Action RecognitionRepresentation Learning+4