Intention Action Anticipation Model with Guide-Feedback Loop Mechanism

arXiv:2403.12450v1 Announce Type: new
Abstract: Anticipating human intention from videos has broad applications, such as automatic driving, robot assistive technology, and virtual reality. This study addresses the problem of intention action anticipation using egocentric video sequences to estimate actions that indicate human intention. We propose a Hierarchical Complete-Recent (HCR) information fusion model that makes full use of the features of the entire video sequence (i.e., complete features) and the features of the video tail sequence (i.e., recent features). The HCR …

abstract applications arxiv assistive technology cs.cv driving feedback fusion guide hierarchical human information loop reality robot study technology type video videos virtual virtual reality