Recurrence textures for human activity recognition from compressive cameras
Published: Sep 1, 2012
Abstract
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 surveillance applications. We propose a framework for understanding human activities as a non-linear dynamical system, and propose a robust, generalizable...
Paper Details
Title
Recurrence textures for human activity recognition from compressive cameras
Published Date
Sep 1, 2012
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