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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| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2022
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| Online Access: | https://hdl.handle.net/10356/157531 |
| _version_ | 1826125018850918400 |
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| author | Liew, Hanwei |
| author2 | Tay Wee Peng |
| author_facet | Tay Wee Peng Liew, Hanwei |
| author_sort | Liew, Hanwei |
| collection | NTU |
| 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. |
| first_indexed | 2024-10-01T06:29:52Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/157531 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T06:29:52Z |
| publishDate | 2022 |
| publisher | Nanyang Technological University |
| record_format | dspace |
| spelling | ntu-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 |
| spellingShingle | Engineering::Electrical and electronic engineering Liew, Hanwei Optical flow analysis for feature tracking from vehicle camera |
| title | 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_short | Optical flow analysis for feature tracking from vehicle camera |
| title_sort | optical flow analysis for feature tracking from vehicle camera |
| topic | Engineering::Electrical and electronic engineering |
| url | https://hdl.handle.net/10356/157531 |
| work_keys_str_mv | AT liewhanwei opticalflowanalysisforfeaturetrackingfromvehiclecamera |