Polynomial background estimation using visible light video streams for robust automatic detection in a maritime environment

Tanja Y. C. van Valkenburg-van Haarst; Krispijn A. Scholte

doi:10.1117/12.830212

30 September 2009 Polynomial background estimation using visible light video streams for robust automatic detection in a maritime environment

Tanja Y. C. van Valkenburg-van Haarst, Krispijn A. Scholte

Author Affiliations +

Proceedings Volume 7482, Electro-Optical Remote Sensing, Photonic Technologies, and Applications III; 748209 (2009) https://doi.org/10.1117/12.830212
Event: SPIE Security + Defence, 2009, Berlin, Germany

Abstract

For naval surveillance, automatic detection of surface objects, like vessels, in a maritime environment is an important contribution of the Electro-Optical (EO) sensor systems on board. Based on previous research using single images, a background estimation approach using low-order polynomials is proposed for the automatic detection of objects in a maritime environment. The polynomials are fitted to the intensity values in the image after which the deviation between the fitted intensity values and the measured intensity values are used for detection. The research presented in this paper, includes the time information by using video streams instead of single images. Hereby, the level of fusing time information and the number of frames necessary for stable detection and tracking behaviour are analysed and discussed. The performance of the detection approach is tested on a, during the fall of 2007, collected extensive dataset of maritime pictures in the Mediterranean Sea and in the North Sea on board of an Air Defence Command frigate, HNLMS Tromp.

Citation Download Citation

Tanja Y. C. van Valkenburg-van Haarst and Krispijn A. Scholte "Polynomial background estimation using visible light video streams for robust automatic detection in a maritime environment", Proc. SPIE 7482, Electro-Optical Remote Sensing, Photonic Technologies, and Applications III, 748209 (30 September 2009); https://doi.org/10.1117/12.830212

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