Deep Dynamic Neural Networks for Multimodal Gesture Segmentation and Recognition
نویسندگان
چکیده
منابع مشابه
Deep Dynamic Neural Networks for Gesture Segmentation and Recognition
The purpose of this paper is to describe a novel method called Deep Dynamic Neural Networks(DDNN) for the Track 3 of the Chalearn Looking at People 2014 challenge [1]. A generalised semi-supervised hierarchical dynamic framework is proposed for simultaneous gesture segmentation and recognition taking both skeleton and depth images as input modules. First, Deep Belief Networks(DBN) and 3D Convol...
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ژورنال
عنوان ژورنال: IEEE Transactions on Pattern Analysis and Machine Intelligence
سال: 2016
ISSN: 0162-8828,2160-9292,1939-3539
DOI: 10.1109/tpami.2016.2537340