Target detection in SAR imagery by genetic programming
Advances in Engineering Software
Evolution of Vehicle Detectors for Infrared Line Scan Imagery
EvoIASP '99/EuroEcTel '99 Proceedings of the First European Workshops on Evolutionary Image Analysis, Signal Processing and Telecommunications
Genetic Programming for Feature Discovery and Image Discrimination
Proceedings of the 5th International Conference on Genetic Algorithms
Evolving edge detectors with genetic programming
GECCO '96 Proceedings of the 1st annual conference on Genetic and evolutionary computation
Genetic programming for image analysis
GECCO '96 Proceedings of the 1st annual conference on Genetic and evolutionary computation
Detection of Incidents on Motorways in Low Flow High Speed Conditions by Genetic Programming
Proceedings of the Applications of Evolutionary Computing on EvoWorkshops 2002: EvoCOP, EvoIASP, EvoSTIM/EvoPLAN
A multistage approach to cooperatively coevolving feature construction and object detection
EC'05 Proceedings of the 3rd European conference on Applications of Evolutionary Computing
Face alignment using boosting and evolutionary search
ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part II
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A two-stage evolution scheme is proposed to obtain an object-detector for an image analysis task, and is applied to the problem of ship detection by inspection of the SAR images taken by satellites. The scheme: (1) affords practical evolution times, (2) is structured to discover fast automatic detectors, (3) can produce small detectors that shed light into the nature of the detection. Detectors compare favorably in accuracy to those obtained using a SOM neural network.