Genetic Programming for Object Detection: A Two-Phase Approach with an Improved Fitness Function
نویسندگان
چکیده
منابع مشابه
Genetic Programming for Object Detection: a Two-phase Approach with an Improved Fitness Function
This paper describes two innovations that improve the efficiency and effectiveness of a genetic programming approach to object detection problems. The approach uses genetic programming to construct object detection programs that are applied, in a moving window fashion, to the large images to locate the objects of interest. The first innovation is to break the GP search into two phases with the ...
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This paper examines genetic programming as a machine learning technique in the context of object detection. Object detection is performed on image features and on gray-scale images themselves, with different goals. The generality of the solutions discovered, over the training set and over a wider range of images, is tested in both cases. Using genetic programming as a means of testing the utili...
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This paper describes an approach to the improvement of a fitness function and the optimisation of training data in genetic programming (GP) for object detection particularly object localisation problems. The fitness function uses the weighted F-measure of a genetic program and considers the localisation fitness values of the detected object locations. To investigate the training data with this ...
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ژورنال
عنوان ژورنال: ELCVIA Electronic Letters on Computer Vision and Image Analysis
سال: 2007
ISSN: 1577-5097
DOI: 10.5565/rev/elcvia.135