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The background model is designed to detect moving objects, and detected objects are segmented into bounding boxes.
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Motivated by the robust principal component analysis, infrared small target image is regarded as low-rank background matrix corrupted by sparse target and noise matrices, thus a new target-background separation model is designed, subsequently, an adaptive detection method of infrared small target is presented.
One model is designed to be dropped from aircraft.
The model was designed for the industrial era.
The Dirichlet prior for the background model is defined similarly.
The background model is a regression based low rank model.
The background model is represented by (7).
how the background model is represented?
In the model, a new energy function is designed by considering both the foreground similarity and the background consistency.
The graduate program is designed with this background in mind.
Two background models were tested.
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