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What's the point? Frame-wise Pointing Gesture Recognition with Latent-Dynamic Conditional Random Fields
October 20, 2015 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
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Authors
Christian Wittner, Boris Schauerte, Rainer Stiefelhagen
arXiv ID
1510.05879
Category
cs.HC: Human-Computer Interaction
Cross-listed
cs.CV,
cs.RO
Citations
4
Venue
arXiv.org
Last Checked
4 months ago
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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