Vision-based customer counting for shopping lots

Market research is vital for businesses to prosper in this modern world, and customer traffic data forms a very important part of the market research studies in order for business owners to gauge the attractiveness of the products available at their business premises and hence allow them to strategi...

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Main Author:	Lee, Fang Soong
Format:	Thesis
Language:	English
Published:	2014
Subjects:	TK7885-7895 Computer engineer Computer hardware
Online Access:	http://eprints.utm.my/id/eprint/47991/25/LeeFangSoongMFKE2014.pdf
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id	my-utm-ep.47991
record_format	uketd_dc
spelling	my-utm-ep.479912017-08-03T05:47:30Z Vision-based customer counting for shopping lots 2014-06 Lee, Fang Soong TK7885-7895 Computer engineer. Computer hardware Market research is vital for businesses to prosper in this modern world, and customer traffic data forms a very important part of the market research studies in order for business owners to gauge the attractiveness of the products available at their business premises and hence allow them to strategize their business or marketing plan accordingly. However, the problem arises when customer traffic data is collected manually, which is tedious, time-consuming and prone to error. The purpose of this project is to develop a simple, user-friendly software based on MATLAB to count the number of people at a premise. The input to the software is a pre-recorded video sequence captured by an overhead camera hung from the ceiling. This video sequence involves top view scenes of people walking at a designated area in the business premises within the sight of an overhead camera. In order to perform the task of counting the number of people in a video, multiple digital image processing techniques are implemented, starting with frame grabber to extract still images from a video sequence, followed by image pre-processing steps including RGB image conversion to grayscale, background subtraction, threshold-based object segmentation and morphology operations. The last step involves tracing the boundary of the region of interest and then label and count it based on blob measurement. The project integrates these steps into a flow within a Graphical User Interface (GUI), and the final implementation is a working GUI with the capability to accept user interaction. The completed software is able to count the number of people, with accuracy at about 81% depending on the image conditions. 2014-06 Thesis http://eprints.utm.my/id/eprint/47991/ http://eprints.utm.my/id/eprint/47991/25/LeeFangSoongMFKE2014.pdf application/pdf en public masters Universiti Teknologi Malaysia, Faculty of Electrical Engineering Faculty of Electrical Engineering
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	TK7885-7895 Computer engineer Computer hardware
spellingShingle	TK7885-7895 Computer engineer Computer hardware Lee, Fang Soong Vision-based customer counting for shopping lots
description	Market research is vital for businesses to prosper in this modern world, and customer traffic data forms a very important part of the market research studies in order for business owners to gauge the attractiveness of the products available at their business premises and hence allow them to strategize their business or marketing plan accordingly. However, the problem arises when customer traffic data is collected manually, which is tedious, time-consuming and prone to error. The purpose of this project is to develop a simple, user-friendly software based on MATLAB to count the number of people at a premise. The input to the software is a pre-recorded video sequence captured by an overhead camera hung from the ceiling. This video sequence involves top view scenes of people walking at a designated area in the business premises within the sight of an overhead camera. In order to perform the task of counting the number of people in a video, multiple digital image processing techniques are implemented, starting with frame grabber to extract still images from a video sequence, followed by image pre-processing steps including RGB image conversion to grayscale, background subtraction, threshold-based object segmentation and morphology operations. The last step involves tracing the boundary of the region of interest and then label and count it based on blob measurement. The project integrates these steps into a flow within a Graphical User Interface (GUI), and the final implementation is a working GUI with the capability to accept user interaction. The completed software is able to count the number of people, with accuracy at about 81% depending on the image conditions.
format	Thesis
qualification_level	Master's degree
author	Lee, Fang Soong
author_facet	Lee, Fang Soong
author_sort	Lee, Fang Soong
title	Vision-based customer counting for shopping lots
title_short	Vision-based customer counting for shopping lots
title_full	Vision-based customer counting for shopping lots
title_fullStr	Vision-based customer counting for shopping lots
title_full_unstemmed	Vision-based customer counting for shopping lots
title_sort	vision-based customer counting for shopping lots
granting_institution	Universiti Teknologi Malaysia, Faculty of Electrical Engineering
granting_department	Faculty of Electrical Engineering
publishDate	2014
url	http://eprints.utm.my/id/eprint/47991/25/LeeFangSoongMFKE2014.pdf
_version_	1747817281183809536

Vision-based customer counting for shopping lots

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