Pedestrian detection from surveillance camera

Surveillant cameras are widely installed along roadways, and the numbers are steadily increasing. The aim of this project is to develop an automatic algorithm to detect the pedestrian from the camera. Such an automatic algorithm can bring many benefits. For example, pedestrian density can be known o...

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Main Author: Lau, Charmaine Rie
Other Authors: Chau Lap Pui
Format: Final Year Project
Language:English
Published: 2018
Subjects:
Online Access:http://hdl.handle.net/10356/74375
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-743752023-07-07T16:05:21Z Pedestrian detection from surveillance camera Lau, Charmaine Rie Chau Lap Pui School of Electrical and Electronic Engineering INFINITUS Smart Mobility Experience Lab(SMEL) DRNTU::Engineering::Electrical and electronic engineering Surveillant cameras are widely installed along roadways, and the numbers are steadily increasing. The aim of this project is to develop an automatic algorithm to detect the pedestrian from the camera. Such an automatic algorithm can bring many benefits. For example, pedestrian density can be known or predicted (i.e. counting the number of human). It can help respond more effectively to abnormal situations, such as overcrowded region. Bachelor of Engineering 2018-05-16T14:00:36Z 2018-05-16T14:00:36Z 2018 Final Year Project (FYP) http://hdl.handle.net/10356/74375 en Nanyang Technological University 54 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
spellingShingle DRNTU::Engineering::Electrical and electronic engineering
Lau, Charmaine Rie
Pedestrian detection from surveillance camera
description Surveillant cameras are widely installed along roadways, and the numbers are steadily increasing. The aim of this project is to develop an automatic algorithm to detect the pedestrian from the camera. Such an automatic algorithm can bring many benefits. For example, pedestrian density can be known or predicted (i.e. counting the number of human). It can help respond more effectively to abnormal situations, such as overcrowded region.
author2 Chau Lap Pui
author_facet Chau Lap Pui
Lau, Charmaine Rie
format Final Year Project
author Lau, Charmaine Rie
author_sort Lau, Charmaine Rie
title Pedestrian detection from surveillance camera
title_short Pedestrian detection from surveillance camera
title_full Pedestrian detection from surveillance camera
title_fullStr Pedestrian detection from surveillance camera
title_full_unstemmed Pedestrian detection from surveillance camera
title_sort pedestrian detection from surveillance camera
publishDate 2018
url http://hdl.handle.net/10356/74375
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