Boualia et al., 2019 - Google Patents

Pose-based human activity recognition: a review

Boualia et al., 2019

Document ID
719554797342309547
Author
Boualia S
Amara N
Publication year
Publication venue
2019 15th international wireless communications & mobile computing conference (IWCMC)

External Links

Snippet

This paper serves as a survey and empirical evaluation of the state-of-the-art in activity recognition methods using still RGB images and/or videos. Understanding human activities from videos or still images is a challenging task in computer vision domain. Identifying the …
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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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    • G06K9/62—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
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