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Devanne et al., 2014 - Google Patents

3-d human action recognition by shape analysis of motion trajectories on riemannian manifold

Devanne et al., 2014

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Document ID
1018900164006669486
Author
Devanne M
Wannous H
Berretti S
Pala P
Daoudi M
Del Bimbo A
Publication year
Publication venue
IEEE transactions on cybernetics

External Links

Snippet

Recognizing human actions in 3-D video sequences is an important open problem that is currently at the heart of many research domains including surveillance, natural interfaces and rehabilitation. However, the design and development of models for action recognition …
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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
    • G06K9/6232—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods
    • G06K9/6247—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods based on an approximation criterion, e.g. principal component analysis
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    • G06K9/6267—Classification techniques
    • G06K9/6268—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
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