3260 papers • 126 benchmarks • 313 datasets
Determining activeness via images
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This work proposes a Computer Vision based multi-stage approach, wherein the pose of a person is first detected, encoded with a novel approach, and then assessed by a classical machine learning algorithm to determine the level of activeness.
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