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Zhang et al., 2021 - Google Patents

Learn to walk across ages: Motion augmented multi-age group gait video translation

Zhang et al., 2021

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Document ID
10422623183975857608
Author
Zhang Y
Makihara Y
Muramatsu D
Zhang J
Niu L
Zhang L
Yagi Y
Publication year
Publication venue
IEEE Access

External Links

Snippet

We propose a framework for multi-age group gait video translation in which, for the first time, individuality-preserving aging patterns in walking style are learnt. More specifically, we build our framework on an existing multi-domain image translation model. Because the existing …
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Classifications

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    • G06K9/00221—Acquiring or recognising human faces, facial parts, facial sketches, facial expressions
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    • G06K9/00281—Local features and components; Facial parts ; Occluding parts, e.g. glasses; Geometrical relationships
    • G—PHYSICS
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    • G06K9/00221—Acquiring or recognising human faces, facial parts, facial sketches, facial expressions
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    • G06K9/00275—Holistic features and representations, i.e. based on the facial image taken as a whole
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    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/36—Image preprocessing, i.e. processing the image information without deciding about the identity of the image
    • G06K9/46—Extraction of features or characteristics of the image
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