Human Action Recognition Using Multilevel Depth Motion Maps

Human Action Recognition Using Multilevel Depth Motion Maps

The advent of depth sensors opens up new opportunities for human action recognition by providing depth information. The main purpose of this paper is to present an effective method for human action recognition from depth images. A multilevel frame select sampling (MFSS) method are proposed to genera...

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Bibliographic Details
Main Authors: Xu Weiyao, Wu Muqing, Zhao Min, Liu Yifeng, Lv Bo, Xia Ting
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Human action recognition
depth image
ELM classifier
fisher kernel
Online Access:https://ieeexplore.ieee.org/document/8675733/

Internet

https://ieeexplore.ieee.org/document/8675733/

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