Bruce, BR;
Aitken, JM;
Petke, J;
(2016)
Deep Parameter Optimisation for Face Detection Using the Viola-Jones Algorithm in OpenCV.
In: Sarro, F and Deb, K, (eds.)
International Symposium on Search Based Software Engineering.
(pp. pp. 238-243).
Springer, Cham: Raleigh, NC, USA.
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Abstract
OpenCV is a commonly used computer vision library containing a wide variety of algorithms for the AI community. This paper uses deep parameter optimisation to investigate improvements to face detection using the Viola-Jones algorithm in OpenCV, allowing a trade-off between execution time and classification accuracy. Our results show that execution time can be decreased by 48 % if a 1.80 % classification inaccuracy is permitted (compared to 1.04 % classification inaccuracy of the original, unmodified algorithm). Further execution time savings are possible depending on the degree of inaccuracy deemed acceptable by the user.
| Type: | Proceedings paper |
|---|---|
| Title: | Deep Parameter Optimisation for Face Detection Using the Viola-Jones Algorithm in OpenCV |
| Event: | 8th International Symposium, SSBSE 2016 |
| Location: | Raleigh, NC |
| Dates: | 08 October 2016 - 10 October 2016 |
| ISBN-13: | 978-3-319-47105-1 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1007/978-3-319-47106-8_18 |
| Publisher version: | https://doi.org/10.1007/978-3-319-47106-8_18 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Science & Technology, Technology, Computer Science, Software Engineering, Computer Science, Theory & Methods, Computer Science, Deep parameter optimisation, Automated parameter tuning, Multi-objective optimisation, Genetic improvement, GI, SBSE, OpenCV, Viola-Jones Algorithm, Search |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
| URI: | https://discovery.ucl.ac.uk/id/eprint/1526716 |
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