People detection and tracking in videos
This is the student’s final year project report, and it mainly talks about the demonstration of detecting and tracking people. There are two parts contained in this paper. The first part is the people detection part. It uses the method of Histogram of oriented gradients to recognize the people wi...
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| Format: | Final Year Project |
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2016
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| Online Access: | http://hdl.handle.net/10356/67897 |
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sg-ntu-dr.10356-678972023-07-07T16:21:11Z People detection and tracking in videos Chu, Bowen Yuan Junsong School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering This is the student’s final year project report, and it mainly talks about the demonstration of detecting and tracking people. There are two parts contained in this paper. The first part is the people detection part. It uses the method of Histogram of oriented gradients to recognize the people within the cameras. Moreover, the second part is the people tracking part. The image subtraction method would be applied for recording the path of moving people. In addition, the project would be developed by C++ programming language, and the VS and OpenCV should be used to solve the problem. Bachelor of Engineering 2016-05-23T06:37:14Z 2016-05-23T06:37:14Z 2016 Final Year Project (FYP) http://hdl.handle.net/10356/67897 en Nanyang Technological University 27 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 |
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DRNTU::Engineering::Electrical and electronic engineering Chu, Bowen People detection and tracking in videos |
| description |
This is the student’s final year project report, and it mainly talks about the
demonstration of detecting and tracking people. There are two parts contained in
this paper. The first part is the people detection part. It uses the method of
Histogram of oriented gradients to recognize the people within the cameras.
Moreover, the second part is the people tracking part. The image subtraction
method would be applied for recording the path of moving people. In addition,
the project would be developed by C++ programming language, and the VS and
OpenCV should be used to solve the problem. |
| author2 |
Yuan Junsong |
| author_facet |
Yuan Junsong Chu, Bowen |
| format |
Final Year Project |
| author |
Chu, Bowen |
| author_sort |
Chu, Bowen |
| title |
People detection and tracking in videos |
| title_short |
People detection and tracking in videos |
| title_full |
People detection and tracking in videos |
| title_fullStr |
People detection and tracking in videos |
| title_full_unstemmed |
People detection and tracking in videos |
| title_sort |
people detection and tracking in videos |
| publishDate |
2016 |
| url |
http://hdl.handle.net/10356/67897 |
| _version_ |
1772826928175120384 |