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arXiv 2108.103672021-08-23cs.CVcs.AIcs.LGcs.RO

Marine vessel tracking using a monocular camera

University of West Florida（西佛罗里达大学）

Tobias Jacob, Raffaele Galliera, Muddasar Ali, Sikha Bagui

备注：: 12 pages, 9 figures, the paper is based on the submission for the AI Tracks at Sea challenge made by the same team taking to a 3rd place in the competition, included in DeLTA 2021 conference proceedings, published on SCITEPRESS Digital Library and available at https://www.scitepress.org/PublicationsDetail.aspx?ID=yzZS+b/VkZ4=&t=1
DOI：: 10.5220/0010516000170028

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In this paper, a new technique for camera calibration using only GPS data is presented. A new way of tracking objects that move on a plane in a video is achieved by using the location and size of the bounding box to estimate the distance, achieving an average prediction error of 5.55m per 100m distance from the camera. This solution can be run in real-time at the edge, achieving efficient inference in a low-powered IoT environment while also being able to track multiple different vessels.

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