Deep Parameter Optimisation for Face Detection Using the Viola-Jones Algorithm in OpenCV : A Correction

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@TechReport{bruce:RN1707,

• author = "Bobby R. Bruce",
• title = "Deep Parameter Optimisation for Face Detection Using the {Viola-Jones} Algorithm in {OpenCV} : A Correction",
• institution = "University College, London",
• year = "2017",
• number = "RN/17/07",
• address = "London, UK",
• month = "7 " # jun,
• keywords = "genetic algorithms, genetic programming, genetic improvement",
• URL = "http://www.cs.ucl.ac.uk/fileadmin/UCL-CS/research/Research_Notes/RN_17_07.pdf",
• abstract = "In our 2016 paper 'Deep Parameter Optimisation for Face Detection Using the Viola-Jones Algorithm in OpenCV' \cite{Bruce:2016:SSBSE} we reported on an evolutionary, multi-objective approach to deep parameter optimisation that we reported could reduce execution time of a face detection algorithm by 48percent if a 1.90percent classification inaccuracy were permitted (compared to the 1.04percent classification inaccuracy of the original, unmodified algorithm) and that further execution time savings were possible depending on the degree of inaccuracy permitted by the user. However, after publication we found an error in our experimental setup; instead of running the deep parameter optimisation framework using an evolutionary search-based approach we had been using a systematic one. We therefore re-ran the experiments using the intended evolutionary implementation alongside the systematic implementation for 1000 evaluations and again for 10000 evaluations. We found that the systematic setup is superior to the intended evolutionary setup in that it produces solutions which, when run on the test set, produce a richer Pareto frontier. The evolutionary approach, in the 10000 evaluation setup, produced a better Pareto frontier on the training set. However, the majority of these solutions were infeasible or not Pareto optimal when run on the test set. We suspect this may be due to the evolutionary approach over-fitting to the training set.",
• notes = "\cite{Bruce:2016:SSBSE} makes reference to now non-existent Github page: https://github.com/BobbyBruce1990/DPT-OpenCV see instead https://github.com/BobbyRBruce/DPT-OpenCV Tarball of repository is available http://www.cs.ucl.ac.uk/staff/R.Bruce/dpt_opencv.tar.gz",
• size = "7 pages",

}

Genetic Programming entries for Bobby R Bruce

Citations