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Multimodal Gesture Recognition Based on the ResC3D Network
2017
2017 IEEE International Conference on Computer Vision Workshops (ICCVW)
Gesture recognition is an important issue in computer vision. Recognizing gestures with videos remains a challenging task due to the barriers of gesture-irrelevant factors. In this paper, we propose a multimodal gesture recognition method based on a ResC3D network. One key idea is to find a compact and effective representation of video sequences. Therefore, the video enhancement techniques, such as Retinex and median filter are applied to eliminate the illumination variation and noise in the
doi:10.1109/iccvw.2017.360
dblp:conf/iccvw/MiaoLOMXSC17
fatcat:m4wjwwtpmzgfxi6e5d45jxfpjq