IVAC-P2L: Enhancing Video Action Counting through Irregular Repetition Priors

arXiv:2403.11959v1 Announce Type: new
Abstract: Video Action Counting (VAC) is crucial in analyzing sports, fitness, and everyday activities by quantifying repetitive actions in videos. However, traditional VAC methods have overlooked the complexity of action repetitions, such as interruptions and the variability in cycle duration. Our research addresses the shortfall by introducing a novel approach to VAC, called Irregular Video Action Counting (IVAC). IVAC prioritizes modeling irregular repetition patterns in videos, which we define through two primary aspects: Inter-cycle Consistency and …

abstract arxiv complexity cs.ai cs.cv cs.mm fitness however research sports through type video videos