Automatic background extraction from video sequences
Detecting and tracking moving objects is a basic and important task in many computer vision and video analysis applications such as video surveillance and object tracking. A background image without moving objects is needed to be used as reference information for further analysis. However, it is not...
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| Other Authors: | |
| Format: | Final Year Project (FYP) |
| Language: | English |
| Published: |
2011
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| Online Access: | http://hdl.handle.net/10356/44029 |
| _version_ | 1811697253982666752 |
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| author | Nasrul Mukasim |
| author2 | Deepu Rajan |
| author_facet | Deepu Rajan Nasrul Mukasim |
| author_sort | Nasrul Mukasim |
| collection | NTU |
| description | Detecting and tracking moving objects is a basic and important task in many computer vision and video analysis applications such as video surveillance and object tracking. A background image without moving objects is needed to be used as reference information for further analysis. However, it is not possible to obtain a sequence of images without moving objects in, for example, traffic monitoring.
The problem with background generation is one with great complexity. Many techniques have been derived in attempts to provide a solution. One such technique that aims to simplify the model shall be discussed and analysed here. This project implements an unconventional method of automatically generating a background from a given image sequence. It is prototyped in MATLAB and implemented using Microsoft Visual C++ and the OpenCV library. |
| first_indexed | 2024-10-01T07:52:20Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/44029 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T07:52:20Z |
| publishDate | 2011 |
| record_format | dspace |
| spelling | ntu-10356/440292023-03-03T20:25:02Z Automatic background extraction from video sequences Nasrul Mukasim Deepu Rajan School of Computer Engineering Centre for Multimedia and Network Technology DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision Detecting and tracking moving objects is a basic and important task in many computer vision and video analysis applications such as video surveillance and object tracking. A background image without moving objects is needed to be used as reference information for further analysis. However, it is not possible to obtain a sequence of images without moving objects in, for example, traffic monitoring. The problem with background generation is one with great complexity. Many techniques have been derived in attempts to provide a solution. One such technique that aims to simplify the model shall be discussed and analysed here. This project implements an unconventional method of automatically generating a background from a given image sequence. It is prototyped in MATLAB and implemented using Microsoft Visual C++ and the OpenCV library. Bachelor of Engineering (Computer Engineering) 2011-05-19T07:12:06Z 2011-05-19T07:12:06Z 2011 2011 Final Year Project (FYP) http://hdl.handle.net/10356/44029 en Nanyang Technological University 59 p. application/pdf |
| spellingShingle | DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision Nasrul Mukasim Automatic background extraction from video sequences |
| title | Automatic background extraction from video sequences |
| title_full | Automatic background extraction from video sequences |
| title_fullStr | Automatic background extraction from video sequences |
| title_full_unstemmed | Automatic background extraction from video sequences |
| title_short | Automatic background extraction from video sequences |
| title_sort | automatic background extraction from video sequences |
| topic | DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision |
| url | http://hdl.handle.net/10356/44029 |
| work_keys_str_mv | AT nasrulmukasim automaticbackgroundextractionfromvideosequences |