Action recognition using vague division DMMs

Action recognition using vague division DMMs

This study presents a novel human action recognition method based on the sequences of depth maps, which provide additional body shape and motion information for action recognition. First, the authors divide each depth sequence into a number of sub-sequences. All these sub-sequences are of uniform le...

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Bibliographic Details
Main Authors: Ke Jin, Min Jiang, Jun Kong, Hongtao Huo, Xiaofeng Wang
Format: Article
Language:English
Published: Wiley 2017-03-01
Series:The Journal of Engineering
Subjects:
object recognition
video signal processing
image sequences
image motion analysis
image classification
probability
image representation
human action recognition method
vague division DMM
depth map sequences
vague boundary
VB-sequence
adjacent sequences
original subsequence
orthogonal Cartesian planes
absolute value
depth motion map
video sequence
robust probabilistic collaborative representation classification
MSR Action Pairs dataset
MSR Gesture 3D dataset
MSR Action3D dataset
UTD-MHAD dataset
Online Access:http://digital-library.theiet.org/content/journals/10.1049/joe.2016.0330

Internet

http://digital-library.theiet.org/content/journals/10.1049/joe.2016.0330

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