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Communication Dans Un Congrès Année : 2008

Omni-Directional Surveillance for Unmanned Water Vehicles

Résumé

This paper proposes a framework for automatic maritime visual surveillance using an unmanned water vehicle (UWV). The UWV is equipped with a GPS, an e-compass and a high resolution omni-camera. A fast algorithm is proposed to automatically calibrate the moving omni-camera in real time. Moreover, a saliency based visual attention method is used for target detection. Targets are tracked using adaptively selected discriminative features and mean shift. Target locations are then geo-registered to a map, and displayed on a situational awareness console. Experiments on real data in a system deployment demonstrate the effectiveness of the maritime surveillance framework.
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Dates et versions

inria-00321929 , version 1 (16-09-2008)

Identifiants

  • HAL Id : inria-00321929 , version 1

Citer

Haiying Liu, Omar Javed, Geoff Taylor, Xiaochun Cao, Niels Haering. Omni-Directional Surveillance for Unmanned Water Vehicles. The Eighth International Workshop on Visual Surveillance - VS2008, Graeme Jones and Tieniu Tan and Steve Maybank and Dimitrios Makris, Oct 2008, Marseille, France. ⟨inria-00321929⟩

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