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Benavent-Lledo et al., 2022 - Google Patents

Predicting human-object interactions in egocentric videos

Benavent-Lledo et al., 2022

Document ID
12191266182993679493
Author
Benavent-Lledo M
Oprea S
Castro-Vargas J
Mulero-Perez D
Garcia-Rodriguez J
Publication year
Publication venue
2022 International Joint Conference on Neural Networks (IJCNN)

External Links

Snippet

Egocentric videos provide a rich source of hand-object interactions that support action recognition. However, prior to action recognition, one may need to detect the presence of hands and objects in the scene. In this work, we propose an action estimation architecture …
Continue reading at ieeexplore.ieee.org (other versions)

Classifications

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    • G06K9/62—Methods or arrangements for recognition using electronic means
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    • G06K9/6268—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
    • G—PHYSICS
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    • G06K9/00221—Acquiring or recognising human faces, facial parts, facial sketches, facial expressions
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    • G—PHYSICS
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    • 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
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
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    • G06F17/30784—Information retrieval; Database structures therefor; File system structures therefor of video data using features automatically derived from the video content, e.g. descriptors, fingerprints, signatures, genre
    • G06F17/30799—Information retrieval; Database structures therefor; File system structures therefor of video data using features automatically derived from the video content, e.g. descriptors, fingerprints, signatures, genre using low-level visual features of the video content
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