KEYWORDS: Video, 3D modeling, Motion models, Feature extraction, Optical flow, Data modeling, Performance modeling, Video surveillance, Video processing, Convolution
Human action video recognition focuses on discussing the theories and new algorithms to make computers understand the meanings of variety videos, such as those from TV, sports or family videos, and recently it plays an important role in advanced human-machine interface, security monitor, video retrieval and so on. The step-by-step process of traditional computational algorithm for human action recognition from videos are described in this paper, and some important deep learning models are also addressed by which some advantages and disadvantages of each approach in different tasks are analysed. Finally, some current trends and prospects of video recognition models are concluded.
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