NDLI: Spatio-temporal pyramid cuboid matching for action recognition using depth maps

Content Provider	IEEE Xplore Digital Library
Author	Bin Liang Lihong Zheng
Copyright Year	2015
Description	Author affiliation: Sch. of Comput. & Math., Charles Sturt Univ., Bathurst, NSW, Australia (Bin Liang; Lihong Zheng)
Abstract	This paper presents a novel framework, spatio-temporal pyramid cuboid matching (STPCM), which is designed to recognize human actions from sequences captured by depth cameras. A depth sequence is partitioned into sub-volumes and represented using pyramid motion history templates (PMHT), which maintain the multi-scale 3D motion and shape information along the temporal direction. In order to capture the spatial information of PMHT, each projected plane from PMHT is subdivided into pyramid spatio-temporal grids. We then propose a novel cuboid fusion scheme to combine spatial dependent grids from projected planes to construct pyramid cuboids that consider the 3D spatial locations in conjunction with temporal information. In the experiments, we evaluate the proposed framework on three public benchmark datasets. Experimental results demonstrate that the proposed method achieves state-of-the-art performance.
Starting Page	2070
Ending Page	2074
File Size	766779
Page Count	5
File Format	PDF
e-ISBN	9781479983391
DOI	10.1109/ICIP.2015.7351165
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-09-27
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Three-dimensional displays History Shape Feature extraction Video sequences Cameras Solid modeling Cuboid fusion Action recognition PMHT STPCM
Content Type	Text
Resource Type	Article

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