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ieee 7780656

Yana edited this page Jul 4, 2017 · 2 revisions

CVPR 2016

First Person Action Recognition Using Deep Learned Descriptors [project page] [PdF] [code] [notes]

Suriya Singh, Chetan Arora, C. V. Jawahar

Synthesis

Contributions

  • demonstrate the utility of deep learned egocentric features for the first person action recognition and show that these features are complementary to state of the art flow and image features

  • train an ‘Ego ConvNet’ to learn the coordination patterns between hands, head and eye movement

  • learn hand/light model from small set of manually segmented hand regions in diverse imaging conditions

  • create appearance descriptors

  • with various Gabor filters

  • Using appearance descriptors

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