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Occluded Object Imaging Based on Collaborative Synthetic Aperture Photography Read chapter Read first chapter

2016 | OriginalPaper | Chapter

Jet Trajectory Recognition Based on Dark Channel Prior

Authors : Wenyan Chong, Ying Hu, Defei Yuan, Yongjun Ma

Published in: Intelligent Visual Surveillance

Publisher: Springer Singapore

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Abstract

The automatic fire-fighting water cannon is an important device for fire extinguish. By identifying the jet trajectory, the closed-loop control of fire extinguishing process can be realized, which improves the quality and efficiency of the water cannon. In this paper, a novel jet trajectory recognition method based on the dark channel prior and the optical properties of low scene transmission in the jet trajectory’s coverage area is proposed. Firstly, the dark channel prior was used to extract the low scene transmission region. Then, in order to identify the jet trajectory more accurately, this extracted region was matched with the moving target area which is restored by Gaussian mixture background modeling. Finally, the modified cubic curve is used to fit out jet trajectory and predict its ending. The experimental results indicate that the proposed approach can effectively detect the jet trajectory with strong anti-interference ability and higher accuracy.

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Metadata
Title
Jet Trajectory Recognition Based on Dark Channel Prior
Authors
Wenyan Chong
Ying Hu
Defei Yuan
Yongjun Ma
Copyright Year
2016
Publisher
Springer Singapore
Book
Intelligent Visual Surveillance

Print ISBN: 978-981-10-3475-6

Electronic ISBN: 978-981-10-3476-3

Copyright Year: 2016

DOI
https://doi.org/10.1007/978-981-10-3476-3_18

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