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Omni-Directional Surveillance for Unmanned Water Vehicles

Abstract : 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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https://hal.inria.fr/inria-00321929
Contributor : Peter Sturm <>
Submitted on : Tuesday, September 16, 2008 - 11:13:55 AM
Last modification on : Monday, February 25, 2019 - 12:44:07 PM
Long-term archiving on: : Friday, June 4, 2010 - 11:25:22 AM

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  • HAL Id : inria-00321929, version 1

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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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