arXiv · 1510.05879
What's the point? Frame-wise Pointing Gesture Recognition with Latent-Dynamic Conditional Random Fields
Abstract
We use Latent-Dynamic Conditional Random Fields to perform skeleton-based pointing gesture classification at each time instance of a video sequence, where we achieve a frame-wise pointing accuracy of roughly 83%. Subsequently, we determine continuous time sequences of arbitrary length that form individual pointing gestures and this way reliably detect pointing gestures at a false positive detection rate of 0.63%.
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Christian Wittner, Boris Schauerte, Rainer Stiefelhagen. 2015-10-20. What's the point? Frame-wise Pointing Gesture Recognition with Latent-Dynamic Conditional Random Fields. https://arxiv.org/abs/1510.05879
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