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Elmezain et al., 2012 - Google Patents

Ldcrfs-based hand gesture recognition

Elmezain et al., 2012

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Document ID
10815195099612237289
Author
Elmezain M
Al-Hamadi A
Publication year
Publication venue
2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC)

External Links

Snippet

This paper proposes a system to recognize isolated American Sign Language and numbers in real-time from Bumblebee stereo camera using Latent-Dynamic Conditional Random Fields (LDCRFs). Our system is based on three main stages: preprocessing, feature …
Continue reading at www.researchgate.net (PDF) (other versions)

Classifications

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    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6267—Classification techniques
    • G06K9/6268—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
    • G06K9/627—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches based on distances between the pattern to be recognised and training or reference patterns
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    • G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • G06K9/6256—Obtaining sets of training patterns; Bootstrap methods, e.g. bagging, boosting
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