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Materzynska et al., 2019 - Google Patents

The jester dataset: A large-scale video dataset of human gestures

Materzynska et al., 2019

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Document ID
16034382216872003227
Author
Materzynska J
Berger G
Bax I
Memisevic R
Publication year
Publication venue
Proceedings of the IEEE/CVF international conference on computer vision workshops

External Links

Snippet

Gesture recognition and its application in human-computer interfaces have been growing increasingly popular in recent years. Although many gestures can be recognized from a single image frame, to build a responsive, accurate system, that can recognize complex …
Continue reading at openaccess.thecvf.com (PDF) (other versions)

Classifications

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    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
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    • G06K9/62—Methods or arrangements for recognition using electronic means
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    • G06K9/00335—Recognising movements or behaviour, e.g. recognition of gestures, dynamic facial expressions; Lip-reading
    • G06K9/00355—Recognition of hand or arm movements, e.g. recognition of deaf sign language
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
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    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/00221—Acquiring or recognising human faces, facial parts, facial sketches, facial expressions
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    • G06K9/36—Image preprocessing, i.e. processing the image information without deciding about the identity of the image
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    • G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/017—Gesture based interaction, e.g. based on a set of recognized hand gestures
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