April 11, 2024, 4:45 a.m. | Matthew Kent Myers, Nick Wright, A. Stephen McGough, Nicholas Martin

cs.CV updates on arXiv.org arxiv.org

arXiv:2404.06894v1 Announce Type: new
Abstract: Online temporal action segmentation shows a strong potential to facilitate many HRI tasks where extended human action sequences must be tracked and understood in real time. Traditional action segmentation approaches, however, operate in an offline two stage approach, relying on computationally expensive video wide features for segmentation, rendering them unsuitable for online HRI applications. In order to facilitate online action segmentation on a stream of incoming video data, we introduce two methods for improved training …

abstract arxiv cs.cv features however human offline segmentation shows stage tasks temporal type video

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