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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| Other Authors: | |
| Format: | Final Year Project (FYP) |
| Language: | English |
| Published: |
2018
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| Online Access: | http://hdl.handle.net/10356/75003 |
| _version_ | 1826125228903759872 |
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| author | Ser, Desmond Kian Kiat |
| author2 | Andy Khong Wai Hoong |
| author_facet | Andy Khong Wai Hoong Ser, Desmond Kian Kiat |
| author_sort | Ser, Desmond Kian Kiat |
| collection | NTU |
| 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. |
| first_indexed | 2024-10-01T06:33:17Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/75003 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T06:33:17Z |
| publishDate | 2018 |
| record_format | dspace |
| spelling | ntu-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 |
| 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 |
| title | 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_short | Human activity detection and tracking |
| title_sort | human activity detection and tracking |
| topic | DRNTU::Engineering DRNTU::Engineering::Electrical and electronic engineering DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision |
| url | http://hdl.handle.net/10356/75003 |
| work_keys_str_mv | AT serdesmondkiankiat humanactivitydetectionandtracking |