Low-cost polarimetric imaging for surveillance

Birch, Philip, Young, Rupert and Chatwin, Chris (2018) Low-cost polarimetric imaging for surveillance. SPIE Photonics Europe Unconventional Optical Imaging, Strasbourg, France, Sunday - Thursday 22 - 26 April 2018. Published in: Proceedings of SPIE: Photonics Europe 2018, Unconventional Optical Imaging. SPIE, Strasbourg, France. (Accepted)

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The surveillance industry has traditionally focused on the use of colour intensity images and then used computer vision methods to extract information. Deep learning methods have been demonstrated successfully but require significant computational resources. Fog and rain still present a problem to these methods. Other non-optical imaging technologies are available but the applications can be cost sensitive. Polarimetric cameras offer a solution to some of these problems. This paper presents a practical and low cost design that uses between two and four HD cameras with a wide field of view. This system has an automatic calibration stage that ensures the video frames are synchronised in time. To produce the Stoke parameters each pixel from one camera must be mapped to the others. To perform this, a homography matrix for each camera is automatically discovered and maps each video stream into the correct spatial coordinates. This attempts to use SIFT keypoint mapping but since each input image is a different polarisation state there are potentially a low number of keypoints so an additional check stage is introduced. Calibration results are presented along with example images, post process methods and feature extraction results.

Item Type: Conference Proceedings
Schools and Departments: School of Engineering and Informatics > Engineering and Design
Research Centres and Groups: Industrial Informatics and Signal Processing Research Group
Subjects: T Technology
Depositing User: Philip Birch
Date Deposited: 08 May 2018 15:00
Last Modified: 09 May 2018 11:47
URI: http://srodev.sussex.ac.uk/id/eprint/75623

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