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Proceedings Paper

Robust real-time horizon detection in full-motion video
Author(s): Grace B. Young; Bryan Bagnall; Corey Lane; Shibin Parameswaran
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Paper Abstract

The ability to detect the horizon on a real-time basis in full-motion video is an important capability to aid and facilitate real-time processing of full-motion videos for the purposes such as object detection, recognition and other video/image segmentation applications. In this paper, we propose a method for real-time horizon detection that is designed to be used as a front-end processing unit for a real-time marine object detection system that carries out object detection and tracking on full-motion videos captured by ship/harbor-mounted cameras, Unmanned Aerial Vehicles (UAVs) or any other method of surveillance for Maritime Domain Awareness (MDA). Unlike existing horizon detection work, we cannot assume a priori the angle or nature (for e.g. straight line) of the horizon, due to the nature of the application domain and the data. Therefore, the proposed real-time algorithm is designed to identify the horizon at any angle and irrespective of objects appearing close to and/or occluding the horizon line (for e.g. trees, vehicles at a distance) by accounting for its non-linear nature. We use a simple two-stage hierarchical methodology, leveraging color-based features, to quickly isolate the region of the image containing the horizon and then perform a more ne-grained horizon detection operation. In this paper, we present our real-time horizon detection results using our algorithm on real-world full-motion video data from a variety of surveillance sensors like UAVs and ship mounted cameras con rming the real-time applicability of this method and its ability to detect horizon with no a priori assumptions.

Paper Details

Date Published: 9 June 2014
PDF: 7 pages
Proc. SPIE 9076, Airborne Intelligence, Surveillance, Reconnaissance (ISR) Systems and Applications XI, 90760N (9 June 2014); doi: 10.1117/12.2050455
Show Author Affiliations
Grace B. Young, La Jolla High School (United States)
Bryan Bagnall, Space and Naval Warfare Systems Ctr. Pacific (United States)
Corey Lane, Space and Naval Warfare Systems Ctr. Pacific (United States)
Shibin Parameswaran, Space and Naval Warfare Systems Ctr. Pacific (United States)


Published in SPIE Proceedings Vol. 9076:
Airborne Intelligence, Surveillance, Reconnaissance (ISR) Systems and Applications XI
Daniel J. Henry; Davis A. Lange; Dale Linne von Berg; S. Danny Rajan; Thomas J. Walls; Darrell L. Young, Editor(s)

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