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A Survey on Real Time Object Detection, Tracking and Recognition in Image Processing

by C. Hemalatha, S. Muruganand, R. Maheswaran
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 91 - Number 16
Year of Publication: 2014
Authors: C. Hemalatha, S. Muruganand, R. Maheswaran
10.5120/15969-5407

C. Hemalatha, S. Muruganand, R. Maheswaran . A Survey on Real Time Object Detection, Tracking and Recognition in Image Processing. International Journal of Computer Applications. 91, 16 ( April 2014), 38-42. DOI=10.5120/15969-5407

@article{ 10.5120/15969-5407,
author = { C. Hemalatha, S. Muruganand, R. Maheswaran },
title = { A Survey on Real Time Object Detection, Tracking and Recognition in Image Processing },
journal = { International Journal of Computer Applications },
issue_date = { April 2014 },
volume = { 91 },
number = { 16 },
month = { April },
year = { 2014 },
issn = { 0975-8887 },
pages = { 38-42 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume91/number16/15969-5407/ },
doi = { 10.5120/15969-5407 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:12:57.099953+05:30
%A C. Hemalatha
%A S. Muruganand
%A R. Maheswaran
%T A Survey on Real Time Object Detection, Tracking and Recognition in Image Processing
%J International Journal of Computer Applications
%@ 0975-8887
%V 91
%N 16
%P 38-42
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Object detection, tracking and recognition in real time is a very essential task in computer vision. There are lots of research work have been done in this area. Yet it needs to be accuracy in recognizing object. The most objective of this review is to present an overview of the approaches used and also the challenges involved. In this paper we concentrate on different object detection methods, tracking and recognition methods are discussed.

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Index Terms

Computer Science
Information Sciences

Keywords

object detection object tracking object recognition survey

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