Action Recognition Using Mined Hierarchical Compound Features
نویسندگان
چکیده
منابع مشابه
Scale Invariant Action Recognition Using Compound Features Mined from Dense Spatio-temporal Corners
The use of sparse invariant features to recognise classes of actions or objects has become common in the literature. However, features are often ”engineered” to be both sparse and invariant to transformation and it is assumed that they provide the greatest discriminative information. To tackle activity recognition, we propose learning compound features that are assembled from simple 2D corners ...
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ژورنال
عنوان ژورنال: IEEE Transactions on Pattern Analysis and Machine Intelligence
سال: 2011
ISSN: 0162-8828,2160-9292
DOI: 10.1109/tpami.2010.144