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Erschienen in:
2013 | OriginalPaper | Buchkapitel
Multi-camera Egocentric Activity Detection for Personal Assistant
verfasst von : Longfei Zhang, Yue Gao, Wei Tong, Gangyi Ding, Alexander Hauptmann
Erschienen in: Advances in Multimedia Modeling
Verlag: Springer Berlin Heidelberg
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We demonstrate an egocentric human activity assistant system that has been developed to aid people in doing explicitly encoded motion behavior, such as operating a home infusion pump in sequence. This system is based on a robust multi-camera egocentric human behavior detection approach. This approach detects individual actions in interesting hot regions by spatio-temporal mid-level features, which are built by spatial bag-of-words method in time sliding window. Using a specific infusion pump as a test case, our goal is to detect individual human actions in the operations of a home medical device to see whether the patient is correctly performing the required actions.