Hypergraph-based Multi-View Action Recognition using Event Cameras

arXiv:2403.19316v1 Announce Type: cross
Abstract: Action recognition from video data forms a cornerstone with wide-ranging applications. Single-view action recognition faces limitations due to its reliance on a single viewpoint. In contrast, multi-view approaches capture complementary information from various viewpoints for improved accuracy. Recently, event cameras have emerged as innovative bio-inspired sensors, leading to advancements in event-based action recognition. However, existing works predominantly focus on single-view scenarios, leaving a gap in multi-view event data exploitation, particularly in challenges like information deficit …

abstract accuracy action recognition applications arxiv bio bio-inspired cameras contrast cs.ai cs.cv cs.lg data event forms hypergraph information limitations recognition reliance sensors type video video data view