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Similar Gesture Recognition using Hierarchical Classification Approach in RGB Videos
2018
2018 Digital Image Computing: Techniques and Applications (DICTA)
Recognizing human actions from the video streams has become one of the very popular research areas in computer vision and deep learning in the recent years. Action recognition is wildly used in different scenarios in real life, such as surveillance, robotics, healthcare, video indexing and humancomputer interaction. The challenges and complexity involved in developing a video-based human action recognition system are manifold. In particular, recognizing actions with similar gestures and
doi:10.1109/dicta.2018.8615804
dblp:conf/dicta/WuSB18
fatcat:tsc32wtxsfhnriiwt3ebqiiicq