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Effectiveness of Deep Learning in Real Time Object Detection

by Faysal Hossain, Md. Raihan-Al-Masud, M. Rubaiyat Hossain Mondal
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 176 - Number 41
Year of Publication: 2020
Authors: Faysal Hossain, Md. Raihan-Al-Masud, M. Rubaiyat Hossain Mondal
10.5120/ijca2020920551

Faysal Hossain, Md. Raihan-Al-Masud, M. Rubaiyat Hossain Mondal . Effectiveness of Deep Learning in Real Time Object Detection. International Journal of Computer Applications. 176, 41 ( Jul 2020), 55-60. DOI=10.5120/ijca2020920551

@article{ 10.5120/ijca2020920551,
author = { Faysal Hossain, Md. Raihan-Al-Masud, M. Rubaiyat Hossain Mondal },
title = { Effectiveness of Deep Learning in Real Time Object Detection },
journal = { International Journal of Computer Applications },
issue_date = { Jul 2020 },
volume = { 176 },
number = { 41 },
month = { Jul },
year = { 2020 },
issn = { 0975-8887 },
pages = { 55-60 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume176/number41/31478-2020920551/ },
doi = { 10.5120/ijca2020920551 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:41:04.530305+05:30
%A Faysal Hossain
%A Md. Raihan-Al-Masud
%A M. Rubaiyat Hossain Mondal
%T Effectiveness of Deep Learning in Real Time Object Detection
%J International Journal of Computer Applications
%@ 0975-8887
%V 176
%N 41
%P 55-60
%D 2020
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Deep learning based object detection has recently gained significant interest. This work focuses on real time object detection using two deep learning models named Faster Regional Convolution Neural Network (Faster-RCNN) and MobileNet Single Shot MultiBox Detector (MobileNet-SSD). An experiment is done using Python for programming, TensorFlow library for computing and OpenCV for computer vision. The Faster-RCNN and MobileNet-SSD models are trained using 400 images of four objects which are persons, watches, cell phones, and books. It is shown that for the images considered, Faster-RCNN can successfully detect these four objects with higher accuracy than MobileNet-SSD. Faster-RCNN also requires less time than MobilneNet-SSD for training the objects. However, Faster-RCNN model is slightly slower than MobileNet-SSD in real time object detection.

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Index Terms

Computer Science
Information Sciences

Keywords

Image object detection deep learning Fast-RCNN CNN.