A line based pose representation for human action recognition
Date
2013Source Title
Signal Processing: Image Communication: theory, techniques & applications
Print ISSN
0923-5965
Volume
28
Issue
5
Pages
458 - 471
Language
English
Type
ArticleItem Usage Stats
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Abstract
In this paper, we utilize a line based pose representation to recognize human actions in videos. We represent the pose in each frame by employing a collection of line-pairs, so that limb and joint movements are better described and the geometrical relationships among the lines forming the human figure are captured. We contribute to the literature by proposing a new method that matches line-pairs of two poses to compute the similarity between them. Moreover, to encapsulate the global motion information of a pose sequence, we introduce line-flow histograms, which are extracted by matching line segments in consecutive frames. Experimental results on Weizmann and KTH datasets emphasize the power of our pose representation, and show the effectiveness of using pose ordering and line-flow histograms together in grasping the nature of an action and distinguishing one from the others. © 2013 Elsevier B.V. All rights reserved.
Keywords
Action recognitionHuman motion
Line - flow
Pose matching
Pose similarity
Gesture recognition
Graphic methods
Image recognition
Motion estimation