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- W2143019553 abstract "Hand gesture interpretation is an open research problem in Human Computer Interaction (HCI), which involves locating gesture boundaries (Gesture Spotting) in a continuous video sequence and recognizing the gesture. Existing techniques model each gesture as a temporal sequence of visual features extracted from individual frames which is not efficient due to the large variability of frames at different timestamps. In this paper, we propose a new sub-gesture modeling approach which represents each gesture as a sequence of fixed sub-gestures (a group of consecutive frames with locally coherent context) and provides a robust modeling of the visual features. We further extend this approach to the task of gesture spotting where the gesture boundaries are identified using a filler model and gesture completion model. Experimental results show that the proposed method outperforms state-of-the-art Hidden Conditional Random Fields (HCRF) based methods and baseline gesture spotting techniques." @default.
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- W2143019553 date "2010-08-01" @default.
- W2143019553 modified "2023-09-26" @default.
- W2143019553 title "A Framework for Hand Gesture Recognition and Spotting Using Sub-gesture Modeling" @default.
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- W2143019553 doi "https://doi.org/10.1109/icpr.2010.921" @default.
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