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Yamada et al., 2012 - Google Patents

Attention prediction in egocentric video using motion and visual saliency

Yamada et al., 2012

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Document ID
15613673711145852973
Author
Yamada K
Sugano Y
Okabe T
Sato Y
Sugimoto A
Hiraki K
Publication year
Publication venue
Advances in Image and Video Technology: 5th Pacific Rim Symposium, PSIVT 2011, Gwangju, South Korea, November 20-23, 2011, Proceedings, Part I 5

External Links

Snippet

We propose a method of predicting human egocentric visual attention using bottom-up visual saliency and egomotion information. Computational models of visual saliency are often employed to predict human attention; however, its mechanism and effectiveness have …
Continue reading at www.researchgate.net (PDF) (other versions)

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
    • G06—COMPUTING; CALCULATING; COUNTING
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