Robust vision-based multiple moving object detection and tracking from video sequences
Detection of Moving Objects and Tracking is one of the most concerned issue and is being vastly used at home, business and modern applications. It is used to identify and track of an entity in a significant way. This paper illustrates the way to detect multiple objects using background subtraction m...
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| Format: | Article |
| Language: | English English |
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IAES
2018
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| Online Access: | http://irep.iium.edu.my/62561/ http://irep.iium.edu.my/62561/7/62561%20Robust%20vision-based%20multiple%20moving%20object%20detection%20SCOPUS.pdf http://irep.iium.edu.my/62561/13/62561_Robust%20vision-based%20multiple%20moving%20object%20detection_article.pdf |
| _version_ | 1848785863933165568 |
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| author | Khalifa, Othman Omran Abdul Malek, Norun Ahmed, Kazi Istiaque Abdul Rahman, Farah Diyana |
| author_facet | Khalifa, Othman Omran Abdul Malek, Norun Ahmed, Kazi Istiaque Abdul Rahman, Farah Diyana |
| author_sort | Khalifa, Othman Omran |
| building | IIUM Repository |
| collection | Online Access |
| description | Detection of Moving Objects and Tracking is one of the most concerned issue and is being vastly used at home, business and modern applications. It is used to identify and track of an entity in a significant way. This paper illustrates the way to detect multiple objects using background subtraction methods and extract each object features by using Speed-Up Robust Feature algorithm and track the features through k-Nearest Neighbor processing from different surveillance videos sequentially. In the detection of object of each frame, pixel difference is calculated with respect to the reference background frame for the detection of an object which is only suitable for any ideal static condition with the consideration of lights from the environment. Thus, this method will detect the complete object and the extracted feature will be carried out for the tracking of the object in the multiple videos by one by one video. It is expected that this proposed method can commendably abolish the impact of the changing of lights. |
| first_indexed | 2025-11-14T16:59:54Z |
| format | Article |
| id | iium-62561 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-14T16:59:54Z |
| publishDate | 2018 |
| publisher | IAES |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | iium-625612018-08-09T07:15:42Z http://irep.iium.edu.my/62561/ Robust vision-based multiple moving object detection and tracking from video sequences Khalifa, Othman Omran Abdul Malek, Norun Ahmed, Kazi Istiaque Abdul Rahman, Farah Diyana T Technology (General) Detection of Moving Objects and Tracking is one of the most concerned issue and is being vastly used at home, business and modern applications. It is used to identify and track of an entity in a significant way. This paper illustrates the way to detect multiple objects using background subtraction methods and extract each object features by using Speed-Up Robust Feature algorithm and track the features through k-Nearest Neighbor processing from different surveillance videos sequentially. In the detection of object of each frame, pixel difference is calculated with respect to the reference background frame for the detection of an object which is only suitable for any ideal static condition with the consideration of lights from the environment. Thus, this method will detect the complete object and the extracted feature will be carried out for the tracking of the object in the multiple videos by one by one video. It is expected that this proposed method can commendably abolish the impact of the changing of lights. IAES 2018-05 Article PeerReviewed application/pdf en http://irep.iium.edu.my/62561/7/62561%20Robust%20vision-based%20multiple%20moving%20object%20detection%20SCOPUS.pdf application/pdf en http://irep.iium.edu.my/62561/13/62561_Robust%20vision-based%20multiple%20moving%20object%20detection_article.pdf Khalifa, Othman Omran and Abdul Malek, Norun and Ahmed, Kazi Istiaque and Abdul Rahman, Farah Diyana (2018) Robust vision-based multiple moving object detection and tracking from video sequences. Indonesian Journal of Electrical Engineering and Computer Science, 10 (2). pp. 817-826. ISSN 2502-4752 http://www.iaescore.com/journals/index.php/IJEECS/article/view/11857/8412 10.11591/ijeecs.v10.i2.pp817-826 |
| spellingShingle | T Technology (General) Khalifa, Othman Omran Abdul Malek, Norun Ahmed, Kazi Istiaque Abdul Rahman, Farah Diyana Robust vision-based multiple moving object detection and tracking from video sequences |
| title | Robust vision-based multiple moving object detection and tracking from video sequences |
| title_full | Robust vision-based multiple moving object detection and tracking from video sequences |
| title_fullStr | Robust vision-based multiple moving object detection and tracking from video sequences |
| title_full_unstemmed | Robust vision-based multiple moving object detection and tracking from video sequences |
| title_short | Robust vision-based multiple moving object detection and tracking from video sequences |
| title_sort | robust vision-based multiple moving object detection and tracking from video sequences |
| topic | T Technology (General) |
| url | http://irep.iium.edu.my/62561/ http://irep.iium.edu.my/62561/ http://irep.iium.edu.my/62561/ http://irep.iium.edu.my/62561/7/62561%20Robust%20vision-based%20multiple%20moving%20object%20detection%20SCOPUS.pdf http://irep.iium.edu.my/62561/13/62561_Robust%20vision-based%20multiple%20moving%20object%20detection_article.pdf |