An Animation-based Augmentation Approach for Action Recognition from Discontinuous Video

arXiv:2404.06741v1 Announce Type: new
Abstract: The study of action recognition has attracted considerable attention recently due to its broad applications in multiple areas. However, with the issue of discontinuous training video, which not only decreases the performance of action recognition model, but complicates the data augmentation process as well, still remains under-exploration. In this study, we introduce the 4A (Action Animation-based Augmentation Approach), an innovative pipeline for data augmentation to address the problem. The main contributions remain in our work …

abstract action recognition animation applications arxiv attention augmentation cs.cv data however issue multiple performance process recognition study training type video