Přístupnostní navigace
E-application
Search Search Close
Publication detail
MUSIL, M.
Original Title
Reducing the Run-time Complexity of Support Vector Machine Used for Rail Candidates Detection
Type
article in a collection out of WoS and Scopus
Language
English
Original Abstract
Support Vector Machine (SVM) is a technique for classification and regression. It uses a decision surface called hyperplane that depends on the regularization parameter and training points lying in the margin of the hyperplane. The run-time complexity of SVM may be reduced through the hyperplane affected by the regularization parameter. We deal with rails recognition in images taken from the camera mounted on the board of the locomotive. For the purpose of rail candidates detection, we deployed an algorithm using SVM. We performed several experiments under different settings. In this paper, we introduce an algorithm using SVM and the impact of its regulation parameter as well as others possible on SVM-performance. The main goal is to decrease time-complexity while maintaining classification success rate.
Keywords
computer-vision, Histogram of Oriented Gradients (HOG), optimization, performance, rail candidates detection, run-time complexity, Support Vector Machine (SVM)
Authors
RIV year
2015
Released
28. 12. 2015
Publisher
Akademické sdružení MAGNANIMITAS Assn.
Location
Hradec Králové
ISBN
978-80-87952-12-2
Book
International Masaryk conference for Ph.D. students and young researchers
Edition
vol. VI
Pages from
2138
Pages to
2146
Pages count
9
URL
http://www.vedeckekonference.cz/index.php?option=com_content&view=article&id=79&Itemid=66&lang=en
BibTex
@inproceedings{BUT123624, author="Marek {Musil}", title="Reducing the Run-time Complexity of Support Vector Machine Used for Rail Candidates Detection", booktitle="International Masaryk conference for Ph.D. students and young researchers", year="2015", series="vol. VI", pages="2138--2146", publisher="Akademické sdružení MAGNANIMITAS Assn.", address="Hradec Králové", isbn="978-80-87952-12-2", url="http://www.vedeckekonference.cz/index.php?option=com_content&view=article&id=79&Itemid=66&lang=en" }