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- W2762297803 abstract "Gesture recognition with its many possible applications in fields like surveillance, human computer interaction etc. has become an important topic in research today. It is difficult to achieve high accuracies in real scenarios due to the large number of human gestures present, the possibility of noise in the video etc. In this paper, a new method of gesture recognition is proposed, that includes foreground detection, detection of the human figures, and gesture recognition. Several techniques for preprocessing such as Canny Edge Detector, Gabor filter, and Otsu thresholding have been compared, and the results are discussed. In general Gabor filter finally gave better results for gesture recognition." @default.
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- W2762297803 date "2017-08-01" @default.
- W2762297803 modified "2023-09-22" @default.
- W2762297803 title "A novel approach to human gesture recognition" @default.
- W2762297803 doi "https://doi.org/10.1109/smarttechcon.2017.8358352" @default.
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