AI News, Learning to Detect Aircraft at Low Resolutions - The Robotics Institute Carnegie Mellon University

Learning to Detect Aircraft at Low Resolutions - The Robotics Institute Carnegie Mellon University

Aircraft detection using computer vision methods is a challenging problem since target aircraft can vary from subpixels to a few pixels in size and the background can be heavily cluttered.

Initial results suggest that this (static) approach on a frame to frame basis achieves a detection rate of about 80% and a false positive rate which is comparable with other approaches that use morphological filtering followed by a tracking stage.

Geyer and Sanjiv Singh}, booktitle = {Computer Vision Systems, Lecture Notes in Computer Science}, publisher = {Springer}, school = {Robotics Institute , Carnegie Mellon University}, month = {May}, year = {2008}, volume = {5008}, pages = {474 - 483}, address = {Pittsburgh, PA}, }

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