Human activity detection and tracking

In this report, the objective is to study the computer vision techniques and develop a facial recognition system to track a person using a live video camera. Security is a concern for Singapore amidst the threats of terrorism in the region. To assist the authorities in their efforts to gather int...

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Main Author: Ser, Desmond Kian Kiat
Other Authors: Andy Khong Wai Hoong
Format: Final Year Project
Language:English
Published: 2018
Subjects:
Online Access:http://hdl.handle.net/10356/75003
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-750032023-07-07T16:59:15Z Human activity detection and tracking Ser, Desmond Kian Kiat Andy Khong Wai Hoong School of Electrical and Electronic Engineering DRNTU::Engineering DRNTU::Engineering::Electrical and electronic engineering DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision In this report, the objective is to study the computer vision techniques and develop a facial recognition system to track a person using a live video camera. Security is a concern for Singapore amidst the threats of terrorism in the region. To assist the authorities in their efforts to gather intelligence on suspicious characters, a human detection and tracking system powered by computer vision and machine learning can help them in their work. The report will cover the various face detection techniques and the development of a facial recognition program using Python programming language. The design of interface and tests conducted will also be evaluated at the end of the report. Bachelor of Engineering 2018-05-25T08:42:45Z 2018-05-25T08:42:45Z 2018 Final Year Project (FYP) http://hdl.handle.net/10356/75003 en Nanyang Technological University 68 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
DRNTU::Engineering::Electrical and electronic engineering
DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
spellingShingle DRNTU::Engineering
DRNTU::Engineering::Electrical and electronic engineering
DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
Ser, Desmond Kian Kiat
Human activity detection and tracking
description In this report, the objective is to study the computer vision techniques and develop a facial recognition system to track a person using a live video camera. Security is a concern for Singapore amidst the threats of terrorism in the region. To assist the authorities in their efforts to gather intelligence on suspicious characters, a human detection and tracking system powered by computer vision and machine learning can help them in their work. The report will cover the various face detection techniques and the development of a facial recognition program using Python programming language. The design of interface and tests conducted will also be evaluated at the end of the report.
author2 Andy Khong Wai Hoong
author_facet Andy Khong Wai Hoong
Ser, Desmond Kian Kiat
format Final Year Project
author Ser, Desmond Kian Kiat
author_sort Ser, Desmond Kian Kiat
title Human activity detection and tracking
title_short Human activity detection and tracking
title_full Human activity detection and tracking
title_fullStr Human activity detection and tracking
title_full_unstemmed Human activity detection and tracking
title_sort human activity detection and tracking
publishDate 2018
url http://hdl.handle.net/10356/75003
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