Fingertip Detection Using Histogram of Gradients and Support Vector Machine
One important application in computer vision is detection of objects. 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...
Saved in:
Main Authors: | Sophian, Ali (Author), Qurratu'aini, Dayang (Author) |
---|---|
Format: | EJournal Article |
Published: |
Institute of Advanced Engineering and Science,
2017-11-01.
|
Subjects: | |
Online Access: | Get fulltext |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Visual-Based Fingertip Detection for Hand Rehabilitation
by: Qurratu'aini, Dayang, et al.
Published: (2018) -
ESTIMASI POSE KEPALA MENGGUNAKAN HISTOGRAM OF ORIENTED GRADIENTS DAN MULTICLASS SUPPORT VECTOR MACHINE
by: Ambiya Wikarsa, -
Published: (2019) -
Surveillance system with motion and face detection using histograms of oriented gradients
by: Cerd Ng, Ri, et al.
Published: (2019) -
Intrusion detection system based on bagging with support vector machine
by: Hilool, Ali Khalid, et al.
Published: (2021) -
Support Vector Machines
by: CALTECH