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Progress in Artificial Intelligence
Published in: Progress in Artificial Intelligence 3/2018

17-02-2018 | Regular Paper

Following event detection method based on human skeleton motion analysis by Kinect sensor

Authors: Hong-Bo Zhang, Miaohui Zhang, Jinyang Guo, Qing Lei, Tsung-Chih Hsiao

Published in: Progress in Artificial Intelligence | Issue 3/2018

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Abstract

Detecting following events is important for intelligent video surveillance systems, especially at secure entrances. However, there is no effective approach for recognizing following actions. In this paper, we propose a novel following action recognition method based on motion analysis of the human skeleton. We use a Kinect to capture the human skeleton and represent the following action as a joint-trajectory difference feature. The most difficult aspect of recognizing a following action lies in classifying both the following action and the companion action. To avoid false alarms from companion actions, this type of human interaction should be detected by the relative displacement of joint points. In our approach, an SVM classifier is trained to recognize following actions, companion actions and others. To verify the proposed method, we built a new following action dataset during this study. The experimental results show that the proposed method is effective at recognizing following actions.
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Metadata
Title
Following event detection method based on human skeleton motion analysis by Kinect sensor
Authors
Hong-Bo Zhang
Miaohui Zhang
Jinyang Guo
Qing Lei
Tsung-Chih Hsiao
Publication date
17-02-2018
Publisher
Springer Berlin Heidelberg
Published in
Progress in Artificial Intelligence / Issue 3/2018
Print ISSN: 2192-6352
Electronic ISSN: 2192-6360
DOI
https://doi.org/10.1007/s13748-018-0143-y

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