Recurrence textures for human activity recognition from compressive cameras

Recent advances in camera architectures and associated mathematical representations now enable compressive acquisition of images and videos at low data-rates. In such a setting, we consider the problem of human activity recognition, which is an important inference problem in many security and survei...

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Bibliographische Detailangaben

Hauptverfasser:	Kulkarni, K., Turaga, P.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Activity Analysis Cameras Compressed sensing Feature extraction Humans Image coding Inference from Compressive Cameras Robustness Videos
Online-Zugang:	Volltext bestellen
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