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Yana edited this page Jul 4, 2017
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First Person Action Recognition Using Deep Learned Descriptors [project page] [PdF] [code] [notes]
Suriya Singh, Chetan Arora, C. V. Jawahar
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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
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train an ‘Ego ConvNet’ to learn the coordination patterns between hands, head and eye movement
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learn hand/light model from small set of manually segmented hand regions in diverse imaging conditions
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create appearance descriptors
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with various Gabor filters
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Using appearance descriptors