Invention Grant
US09412027B2 Detecting anamolous sea-surface oil based on a synthetic discriminant signal and learned patterns of behavior 有权
基于合成判别信号和学习行为模式检测anamolous海面油

Detecting anamolous sea-surface oil based on a synthetic discriminant signal and learned patterns of behavior
Abstract:
A behavioral recognition system may include both a computer vision engine and a machine learning engine configured to observe and learn patterns of behavior in video data. Certain embodiments may be configured to detect and evaluate the presence of sea-surface oil on the water surrounding an offshore oil platform. The computer vision engine may be configured to segment image data into detected patches or blobs of surface oil (foreground) present in the field of view of an infrared camera (or cameras). A machine learning engine may evaluate the detected patches of surface oil to learn to distinguish between sea-surface oil incident to the operation of an offshore platform and the appearance of surface oil that should be investigated by platform personnel.
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