Feimo Li

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Current researches on moving object detection from airborne videos are mainly based on frame difference. Though many improvements have been made on these methods, it is still difficult to extract all the moving pixels accurately. Being capable of providing more reliable motion information, background subtraction based methods have been widely used for(More)
Aerial traffic surveillance requires algorithms that can accurately predict the locations and orientations of hundreds of vehicles in a large high resolution aerial image within seconds. Under this constraint, the classical cascaded detection framework based on boosting algorithms still remains an optimal choice. These methods, however, usually use many(More)
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