Research Article
A Review Paper on Object Detection for Improve the Classification Accuracy and Robustness using different Techniques
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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| Volume 112 - Issue 11 |
| Published: February 2015 |
| Authors: Divya Patel, Pankaj Kumar Gautam |
10.5120/19708-1465
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Divya Patel, Pankaj Kumar Gautam . A Review Paper on Object Detection for Improve the Classification Accuracy and Robustness using different Techniques. International Journal of Computer Applications. 112, 11 (February 2015), 5-7. DOI=10.5120/19708-1465
@article{ 10.5120/19708-1465,
author = { Divya Patel,Pankaj Kumar Gautam },
title = { A Review Paper on Object Detection for Improve the Classification Accuracy and Robustness using different Techniques },
journal = { International Journal of Computer Applications },
year = { 2015 },
volume = { 112 },
number = { 11 },
pages = { 5-7 },
doi = { 10.5120/19708-1465 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2015
%A Divya Patel
%A Pankaj Kumar Gautam
%T A Review Paper on Object Detection for Improve the Classification Accuracy and Robustness using different Techniques%T
%J International Journal of Computer Applications
%V 112
%N 11
%P 5-7
%R 10.5120/19708-1465
%I Foundation of Computer Science (FCS), NY, USA
Abstract
Object detection is a computer technology that connected to image processing and computer vision that deal with detecting instance objects of certain class in digital images and videos. Object detection is a challenging problem in vision based computer applications. It is used to identifying that whether in scene or image object is been there or not. In this review paper, we are going to present different techniques and methods for detecting or recognizing object with various benefits like efficiency, accuracy, robustness etc.
References
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