Sea-skyline-based image stabilization of a buoy-mounted catadioptric omnidirectional vision system

Marine monitoring systems have the requirements of a large field of view, low power consumption, real-time viewing, and economical and automatic functionality. This paper establishes an omnidirectional vision system used in marine buoys that meets these requirements. We present a framework for image...

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Bibliographic Details
Published in:EURASIP journal on image and video processing 2018-01, Vol.2018 (1), p.1-13, Article 1
Main Authors: Cai, Chengtao, Weng, Xiangyu, Zhu, Qidan
Format: Article
Language:English
Subjects:
Biometrics
Buoys
Digital cameras
Engineering
Environmental monitoring
Field of view
Image detection
Image processing
Image Processing and Computer Vision
Image stabilizers
Image transforms
Machine vision
Marine environment
Pattern Recognition
Power consumption
Real time
Signal,Image and Speech Processing
Stabilization
Target detection
Vision systems
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Summary:Marine monitoring systems have the requirements of a large field of view, low power consumption, real-time viewing, and economical and automatic functionality. This paper establishes an omnidirectional vision system used in marine buoys that meets these requirements. We present a framework for image stabilization, which is achieved by omnidirectional sea-skyline detection in a marine environment. We propose an optimal edge estimation method to calculate the sea-skyline ellipsis according to the sea-skyline characteristics in panoramic images. We construct a compact panoramic image stabilization model based on the sea-skyline and propose a reconstruction method for the invalid regions using the key frame. The experimental results and analysis show that the proposed approach is capable of acquiring stable video in real-time marine monitoring tasks and that the target detection is sufficiently effective, efficient, and accurate for a real-time ship target detection application.
ISSN:1687-5281
1687-5176
1687-5281
DOI:10.1186/s13640-017-0240-z