Advanced Detection and Tracking Systems
Wednesday 10th November 2010, 1400hrs–1530hrs
Chaired by Matthias Conrad Detection of Drifting Sea Mines using Above and Underwater Sensors Dr. Henry Dol, TNO Defence, Security & Safety, Netherlands Small drifting objects can be a big threat to surface ships, especially when the objects are explosion hazards like sea mines that have become detached from their moorings. Timely detection of such objects is crucial in order to be able to perform adequate evasive manoeuvres. However, the vertical position of drifting mines is a serious challenge for detection with both above- and underwater sensors, as the surface objects are usually only partly above and under water, and surface effects such as wave occlusion and scattering apply to both sides. On the other hand, above- and underwater sensors may complement each other as poor detection from above may imply good detection from below, and vice versa. This paper will report on sea trial results for the detection of drifting sea mines using a prototype surface-scanning infrared lidar from above and operational mine-hunting sonar systems from below. For the sonar experiments, both a forward-looking hull-mounted sonar and an upward-looking self-propelled variable-depth sonar have been applied. Spherical exercise mines were used as mine-like objects, painted in a realistic warshot colour for the optical tests. Advanced Visual Tracking in Dynamic Environments Mr. Martyn Dickinson, Servowatch Systems Ltd., United Kingdom We will present a new system for visual tracking, which given a series of video frames, tracks' object(s) from one frame to the next, computing their position, rotation, scale and potentially other parameters. Our method has the significant advantage for marine security by allowing visual tracking to be used in dynamic environments. This is in contrast to methods that rely on fixed cameras and static backgrounds, which are unable to reliably track objects in an ever changing scenario. This new method for visual tracking uses a region-based, level-set framework. The unique difference between our method and all others is that we use the pixel-wise posterior when computing the foreground/background pixel membership, as opposed to the traditional pixel-wise likelihood. We use the superior performance of our tracker to control a high performance pan-tilt-zoom device. Specifically, we use the computed position to control the pan-tilt axes and the computed scale to control the zoom axis. This gives us stabilised video sequences of objects in the environment, which can be used to enrich a metric estimate with visual information. The paper will describe our new method for visual tracking, which uses pixel-wise posteriors as opposed to pixel-wise likelihoods. We will demonstrate the benefits of our method in enhancing future maritime security. Countering the Asymmetric Threat: SIMONE (Ship Infrared Monitoring, Observation and Navigation Equipment) Dr. Joerg Brechtefeld, Diehl Defence Holding, Germany Download Author Biography (PDF) This paper will spotlight SIMONE whose key features are:
Automatic and autonomous detection, recognition and alarm generation for surface and aerial threats;
Early detection by night and day using uncooled infrared technology;
Operational worldwide under all environmental conditions;
Threat and image data accessible over Ethernet (bridge, operations center, watch stations);
Interface with Combat Direction System, EO verificators and effectors;
Easy-to-maintain system, little training effort required for system operation;
Retrofit kit available for yachts, commercial and navy vessels;
Collision avoidance, guiding assistance for approaching helicopters;
Integration of remote sensor modules into the network, e.g. for pier surveillance.
MAST timetable
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Diamond Industry Patron
Keynote speakers were excellent.
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Joel Timm
Future Fleet Concepts Analyst, NAVSEA, USA
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