Action recognition using length-variable edge trajectory and spatio-temporal motion skeleton descriptor

Abstract Representing the features of different types of human action in unconstrained videos is a challenging task due to camera motion, cluttered background, and occlusions. This paper aims to obtain effective and compact action representation with length-variable edge trajectory (LV-ET) and spati...

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Bibliographic Details

Published in:	EURASIP Journal on Image and Video Processing
Main Authors:	Zhengkui Weng, Yepeng Guan
Format:	Article
Language:	English
Published:	SpringerOpen 2018-02-01
Subjects:	Human action recognition Length-variable edge trajectory Motion clustering Spatio-temporal motion skeleton
Online Access:	http://link.springer.com/article/10.1186/s13640-018-0250-5