Binary dense sift flow based two stream CNN for human action recognition

Two-stream CNN is a widely-used network for human action recognition. Two-stream CNN consists of a spatial stream and a temporal stream. The spatial stream, through which the RGB image passes, extracts the shape features of human motion. The temporal stream, through which the optical flow images pas...

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Veröffentlicht in:	Multimedia tools and applications Jg. 80; H. 28-29; S. 35697 - 35720
Hauptverfasser:	Park, Sang Kyoo, Chung, Jun Ho, Kang, Tae Koo, Lim, Myo Taeg
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.11.2021 Springer Nature B.V
Schlagworte:	1166: Advances of machine learning in data analytics and visual information processing Brightness Computer Communication Networks Computer Science Data Structures and Information Theory Datasets Feature extraction Human activity recognition Human motion Multimedia Information Systems Optical flow (image analysis) Pedestrians Performance enhancement Smoothness Special Purpose and Application-Based Systems Action recognition Binary dense SIFT flow Binary descriptor Two-Stream CNN
ISSN:	1380-7501, 1573-7721
Online-Zugang:	Volltext
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