Optical flow analysis for feature tracking from vehicle camera

In the subject of computer vision, motion tracking is one of the most active study topics. Motion tracking may be both informative and beneficial, and motion data is quite important for traffic surveillance systems. Template matching, blob tracking, and contour tracking are among the many proposed m...

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Main Author: Liew, Hanwei
Other Authors: Tay Wee Peng
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2022
Subjects:
Online Access:https://hdl.handle.net/10356/157531
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1575312023-07-07T19:17:22Z Optical flow analysis for feature tracking from vehicle camera Liew, Hanwei Tay Wee Peng School of Electrical and Electronic Engineering wptay@ntu.edu.sg Engineering::Electrical and electronic engineering In the subject of computer vision, motion tracking is one of the most active study topics. Motion tracking may be both informative and beneficial, and motion data is quite important for traffic surveillance systems. Template matching, blob tracking, and contour tracking are among the many proposed motion tracking techniques. There are two main factors that come with developing optical flow algorithms over the years. One would be higher accuracy and the other would be faster implementation. This research project will analyze the notion of applying optical flow in videos taken from a vehicle-mounted camera and evaluate its performance in order to assess its dependability and practicability. Bachelor of Engineering (Electrical and Electronic Engineering) 2022-05-19T07:13:40Z 2022-05-19T07:13:40Z 2022 Final Year Project (FYP) Liew, H. (2022). Optical flow analysis for feature tracking from vehicle camera. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/157531 https://hdl.handle.net/10356/157531 en A3252-211 application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Electrical and electronic engineering
spellingShingle Engineering::Electrical and electronic engineering
Liew, Hanwei
Optical flow analysis for feature tracking from vehicle camera
description In the subject of computer vision, motion tracking is one of the most active study topics. Motion tracking may be both informative and beneficial, and motion data is quite important for traffic surveillance systems. Template matching, blob tracking, and contour tracking are among the many proposed motion tracking techniques. There are two main factors that come with developing optical flow algorithms over the years. One would be higher accuracy and the other would be faster implementation. This research project will analyze the notion of applying optical flow in videos taken from a vehicle-mounted camera and evaluate its performance in order to assess its dependability and practicability.
author2 Tay Wee Peng
author_facet Tay Wee Peng
Liew, Hanwei
format Final Year Project
author Liew, Hanwei
author_sort Liew, Hanwei
title Optical flow analysis for feature tracking from vehicle camera
title_short Optical flow analysis for feature tracking from vehicle camera
title_full Optical flow analysis for feature tracking from vehicle camera
title_fullStr Optical flow analysis for feature tracking from vehicle camera
title_full_unstemmed Optical flow analysis for feature tracking from vehicle camera
title_sort optical flow analysis for feature tracking from vehicle camera
publisher Nanyang Technological University
publishDate 2022
url https://hdl.handle.net/10356/157531
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