Shiqi Wang1, Yimin Yang1, *, Ruizhong Wei1, Qingming Jonathan Wu2
CMC-Computers, Materials & Continua, Vol.63, No.3, pp. 1081-1091, 2020, DOI:10.32604/cmc.2020.09648
- 30 April 2020
Abstract Human motion recognition plays a crucial role in the video analysis
framework. However, a given video may contain a variety of noises, such as an unstable
background and redundant actions, that are completely different from the key actions.
These noises pose a great challenge to human motion recognition. To solve this problem,
we propose a new method based on the 3-Dimensional (3D) Bag of Visual Words
(BoVW) framework. Our method includes two parts: The first part is the video action
feature extractor, which can identify key actions by analyzing action features. In the
video action More >
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