Human detection and tracking using camera (Part II)

In this project, the author learnt about human detection and tracking using OpenCV, Python and MATLAB. The author implemented solutions in Python using OpenCV to handle computer vision tasks such as face tracking, motion detection and tracking as well as human detection and tracking. The author also...

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Bibliographic Details
Main Author:	Chakravarthi, M. Rubern
Other Authors:	Andy Khong Wai Hoong
Format:	Final Year Project
Language:	English
Published:	2017
Subjects:	DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
Online Access:	http://hdl.handle.net/10356/71973
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Institution:	Nanyang Technological University
Language:	English

id	sg-ntu-dr.10356-71973
record_format	dspace
spelling	sg-ntu-dr.10356-719732023-07-07T16:11:27Z Human detection and tracking using camera (Part II) Chakravarthi, M. Rubern Andy Khong Wai Hoong School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems In this project, the author learnt about human detection and tracking using OpenCV, Python and MATLAB. The author implemented solutions in Python using OpenCV to handle computer vision tasks such as face tracking, motion detection and tracking as well as human detection and tracking. The author also tested the feasibility of using the Raspberry Pi as platform for computer vision tasks. Bachelor of Engineering 2017-05-23T06:14:42Z 2017-05-23T06:14:42Z 2017 Final Year Project (FYP) http://hdl.handle.net/10356/71973 en Nanyang Technological University 34 p. application/pdf
institution	Nanyang Technological University
building	NTU Library
continent	Asia
country	Singapore Singapore
content_provider	NTU Library
collection	DR-NTU
language	English
topic	DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
spellingShingle	DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems Chakravarthi, M. Rubern Human detection and tracking using camera (Part II)
description	In this project, the author learnt about human detection and tracking using OpenCV, Python and MATLAB. The author implemented solutions in Python using OpenCV to handle computer vision tasks such as face tracking, motion detection and tracking as well as human detection and tracking. The author also tested the feasibility of using the Raspberry Pi as platform for computer vision tasks.
author2	Andy Khong Wai Hoong
author_facet	Andy Khong Wai Hoong Chakravarthi, M. Rubern
format	Final Year Project
author	Chakravarthi, M. Rubern
author_sort	Chakravarthi, M. Rubern
title	Human detection and tracking using camera (Part II)
title_short	Human detection and tracking using camera (Part II)
title_full	Human detection and tracking using camera (Part II)
title_fullStr	Human detection and tracking using camera (Part II)
title_full_unstemmed	Human detection and tracking using camera (Part II)
title_sort	human detection and tracking using camera (part ii)
publishDate	2017
url	http://hdl.handle.net/10356/71973
_version_	1772827934942298112

Human detection and tracking using camera (Part II)

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