“Important stuff, everywhere!” Activity recognition with salient proto-objects as context

Abstract

Object information is an important cue to discriminate between activities that draw part of their meaning from context. Most of current work either ignores this information or relies on specific object detectors. However, such object detectors require a significant amount of training data and complicate the transfer of the action recognition framework to… (More)

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Cite this paper

@article{Rybok2014x201CImportantSE, title={“Important stuff, everywhere!” Activity recognition with salient proto-objects as context}, author={Lukas Rybok and Boris Schauerte and Ziad Al-Halah and Rainer Stiefelhagen}, journal={IEEE Winter Conference on Applications of Computer Vision}, year={2014}, pages={646-651} }