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Improving the Performance of Human Detection Technique using Cascaded Support Vector Machine

by Raksha Tomar, Murlidhar Vishwakarma, Ravi Singh Pippal
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 117 - Number 3
Year of Publication: 2015
Authors: Raksha Tomar, Murlidhar Vishwakarma, Ravi Singh Pippal
10.5120/20531-2872

Raksha Tomar, Murlidhar Vishwakarma, Ravi Singh Pippal . Improving the Performance of Human Detection Technique using Cascaded Support Vector Machine. International Journal of Computer Applications. 117, 3 ( May 2015), 1-4. DOI=10.5120/20531-2872

@article{ 10.5120/20531-2872,
author = { Raksha Tomar, Murlidhar Vishwakarma, Ravi Singh Pippal },
title = { Improving the Performance of Human Detection Technique using Cascaded Support Vector Machine },
journal = { International Journal of Computer Applications },
issue_date = { May 2015 },
volume = { 117 },
number = { 3 },
month = { May },
year = { 2015 },
issn = { 0975-8887 },
pages = { 1-4 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume117/number3/20531-2872/ },
doi = { 10.5120/20531-2872 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:58:18.959567+05:30
%A Raksha Tomar
%A Murlidhar Vishwakarma
%A Ravi Singh Pippal
%T Improving the Performance of Human Detection Technique using Cascaded Support Vector Machine
%J International Journal of Computer Applications
%@ 0975-8887
%V 117
%N 3
%P 1-4
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Human detection plays an important role in security surveillance and computer vision. The process of human detection is very complex due to variant feature of human such as color, texture and shape and size. The process of feature extraction imparts a major role in human detection technique. Now a days used classification technique to define the feature of human. The classification process define the pattern of feature for the process of detection, the process of features generates a bag of feature for the process of classification technique. In this paper improved the support vector machine classification technique for the classification of human detection. The improved support vector machine is called cascaded support vector machine. The cascading of support vector machine improved the process of human detection. Our proposed algorithm implemented in MATLAB 7. 8. 0 software and used human video of different location. Our empirical evaluation of experimental result shows that the proposed methods give a better result in compression of support vector machine classifier.

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Index Terms

Computer Science
Information Sciences

Keywords

Human detection feature extraction SVM

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