Intention-Conditioned Long-Term Human Egocentric Action Forecasting

arXiv:2207.12080v4 Announce Type: replace
Abstract: To anticipate how a human would act in the future, it is essential to understand the human intention since it guides the human towards a certain goal. In this paper, we propose a hierarchical architecture which assumes a sequence of human action (low-level) can be driven from the human intention (high-level). Based on this, we deal with Long-Term Action Anticipation task in egocentric videos. Our framework first extracts two level of human information over the …

arxiv cs.cv forecasting human long-term type