Fingertip detection using histogram of gradients and support vector machine
One important application in computer vision is detection of objects. This paper discusses detection of fingertips by using Histogram of Gradients (HOG) as the feature descriptor and Support Vector Machines (SVM) as the classifier. The SVM is trained to produce a classifier that is able to distingui...
| Main Authors: | , |
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| Format: | Article |
| Language: | English English |
| Published: |
Institute of Advanced Engineering and Science
2017
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/60111/ http://irep.iium.edu.my/60111/ http://irep.iium.edu.my/60111/ http://irep.iium.edu.my/60111/1/60111_Fingertip%20Detection%20Using%20Histogram.pdf http://irep.iium.edu.my/60111/7/Fingertip%20detection%20using%20histogram%20of%20gradients%20and%20support%20vector%20machine.pdf |
Internet
http://irep.iium.edu.my/60111/http://irep.iium.edu.my/60111/
http://irep.iium.edu.my/60111/
http://irep.iium.edu.my/60111/1/60111_Fingertip%20Detection%20Using%20Histogram.pdf
http://irep.iium.edu.my/60111/7/Fingertip%20detection%20using%20histogram%20of%20gradients%20and%20support%20vector%20machine.pdf