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2016 | OriginalPaper | Chapter

Gathering Event Detection by Stereo Vision

Authors : Qian Wang, Wei Jin, Gang Wang

Published in: Advances in Visual Computing

Publisher: Springer International Publishing

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Abstract

This paper proposes a method for pedestrian gathering detection in real cluttered scenario by stereo vision. Firstly, foreground is converted into 3D cloud points and extracted by spatial confinement with more insensitivity to illumination change. Instead of detecting stationary people in camera view, they are localized in plan view maps which is more resistant to inter person occlusion and people number is directly estimated in multiple plan view statistical maps based on more physically inspired features by regression. In addition, it exhibits superior extensibility to multiple binocular camera system for wider surveillance coverage and higher detection accuracy through fusion. Finally, we contributed the first abnormal dataset with depth information and experimental results on it validate its effectiveness.

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Metadata
Title
Gathering Event Detection by Stereo Vision
Authors
Qian Wang
Wei Jin
Gang Wang
Copyright Year
2016
Book
Advances in Visual Computing

Print ISBN: 978-3-319-50831-3

Electronic ISBN: 978-3-319-50832-0

Copyright Year: 2016

DOI
https://doi.org/10.1007/978-3-319-50832-0_42

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