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Erschienen in:
2015 | OriginalPaper | Buchkapitel
Wearable Cameras for Real-Time Activity Annotation
verfasst von : Jiang Zhou, Aaron Duane, Rami Albatal, Cathal Gurrin, Dag Johansen
Erschienen in: MultiMedia Modeling
Verlag: Springer International Publishing
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Google Glass has potential to be a real-time data capture and annotation tool. With professional sports as a use-case, we present a platform which helps a football coach capture and annotate interesting events using Google Glass. In our implementation, an interesting event is indicated by a predefined hand gesture or motion, and our platform can automatically detect these gestures in a video without training any classifier. Three event detectors are examined and our experiment shows that the detector with combined edgeness and color moment features gives the best detection performance.