Video Tracking System Using Midrange Exploration Exploitation Searching-Particle Swarm Optimization (MEESPSO) in handling occlusion and similar appearance due to crowded environment
Detecting the correct object plays a key role in generating an accurate and precise object tracking result. In addition, the usage of conventional method still brings the limitation in term of the accuracy and precision of the detected object. Besides, the process of object tracking in an individual...
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2021
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| Online Access: | http://umpir.ump.edu.my/id/eprint/32183/3/Video%20Tracking%20System%20Using%20Midrange%20Exploration1.pdf http://umpir.ump.edu.my/id/eprint/32183/4/Video%20Tracking%20System%20Using%20Midrange.pdf http://umpir.ump.edu.my/id/eprint/32183/ https://doi.org/10.1109/ICSECS52883.2021.00053 http://10.1109/ICSECS52883.2021.00053 |
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| author | Nurul Izzatie Husna, Fauzi Zalili, Musa Nor Saradatul Akmar, Zulkifli |
| author_facet | Nurul Izzatie Husna, Fauzi Zalili, Musa Nor Saradatul Akmar, Zulkifli |
| author_sort | Nurul Izzatie Husna, Fauzi |
| building | UMPSA Library |
| collection | Institutional Repository |
| content_provider | Universiti Malaysia Pahang Al-Sultan Abdullah |
| content_source | UMPSA Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | Detecting the correct object plays a key role in generating an accurate and precise object tracking result. In addition, the usage of conventional method still brings the limitation in term of the accuracy and precision of the detected object. Besides, the process of object tracking in an individual frame is also challenging due to the problems such as occlusion, crowded environment, and similar appearance Therefore, a Midrange Exploration Exploitation Searching Particle Swarm Optimization (MEESPSO) algorithm with color-shape feature pattern matching methods was introducing to address the problem of the similar appearance or color that comes close to target object in crowded environment, and the presence of occlusion problem cause motion of the crowded object or the camera views. The proposed method is tested by using the MOT16-11 benchmark video dataset. This benchmark video faced the challenges such as partial occlusion, fully occlusion and similar appearance due to crowded environment in the video scene. The experiment has shown that the tracking performance of the proposed method has increased more than 92.69% accuracy and 94.67% precision |
| format | Conference or Workshop Item |
| id | my.ump.umpir.32183 |
| institution | Universiti Malaysia Pahang |
| language | en en |
| publishDate | 2021 |
| publisher | IEEE |
| record_format | eprints |
| spelling | my.ump.umpir.321832022-06-10T07:05:58Z http://umpir.ump.edu.my/id/eprint/32183/ Video Tracking System Using Midrange Exploration Exploitation Searching-Particle Swarm Optimization (MEESPSO) in handling occlusion and similar appearance due to crowded environment Nurul Izzatie Husna, Fauzi Zalili, Musa Nor Saradatul Akmar, Zulkifli QA76 Computer software Detecting the correct object plays a key role in generating an accurate and precise object tracking result. In addition, the usage of conventional method still brings the limitation in term of the accuracy and precision of the detected object. Besides, the process of object tracking in an individual frame is also challenging due to the problems such as occlusion, crowded environment, and similar appearance Therefore, a Midrange Exploration Exploitation Searching Particle Swarm Optimization (MEESPSO) algorithm with color-shape feature pattern matching methods was introducing to address the problem of the similar appearance or color that comes close to target object in crowded environment, and the presence of occlusion problem cause motion of the crowded object or the camera views. The proposed method is tested by using the MOT16-11 benchmark video dataset. This benchmark video faced the challenges such as partial occlusion, fully occlusion and similar appearance due to crowded environment in the video scene. The experiment has shown that the tracking performance of the proposed method has increased more than 92.69% accuracy and 94.67% precision IEEE 2021-09-17 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/32183/3/Video%20Tracking%20System%20Using%20Midrange%20Exploration1.pdf pdf en http://umpir.ump.edu.my/id/eprint/32183/4/Video%20Tracking%20System%20Using%20Midrange.pdf Nurul Izzatie Husna, Fauzi and Zalili, Musa and Nor Saradatul Akmar, Zulkifli (2021) Video Tracking System Using Midrange Exploration Exploitation Searching-Particle Swarm Optimization (MEESPSO) in handling occlusion and similar appearance due to crowded environment. In: 2021 International Conference on Software Engineering & Computer Systems and 4th International Conference on Computational Science and Information Management (ICSECS-ICOCSIM) , 21-26 August 2021 , Pekan, Pahang, Malaysia. pp. 255-260., 1. ISBN 978-1-6654-1407-4 (Published) https://doi.org/10.1109/ICSECS52883.2021.00053 http://10.1109/ICSECS52883.2021.00053 |
| spellingShingle | QA76 Computer software Nurul Izzatie Husna, Fauzi Zalili, Musa Nor Saradatul Akmar, Zulkifli Video Tracking System Using Midrange Exploration Exploitation Searching-Particle Swarm Optimization (MEESPSO) in handling occlusion and similar appearance due to crowded environment |
| title | Video Tracking System Using Midrange Exploration Exploitation Searching-Particle Swarm Optimization (MEESPSO) in handling occlusion and similar appearance due to crowded environment |
| title_full | Video Tracking System Using Midrange Exploration Exploitation Searching-Particle Swarm Optimization (MEESPSO) in handling occlusion and similar appearance due to crowded environment |
| title_fullStr | Video Tracking System Using Midrange Exploration Exploitation Searching-Particle Swarm Optimization (MEESPSO) in handling occlusion and similar appearance due to crowded environment |
| title_full_unstemmed | Video Tracking System Using Midrange Exploration Exploitation Searching-Particle Swarm Optimization (MEESPSO) in handling occlusion and similar appearance due to crowded environment |
| title_short | Video Tracking System Using Midrange Exploration Exploitation Searching-Particle Swarm Optimization (MEESPSO) in handling occlusion and similar appearance due to crowded environment |
| title_sort | video tracking system using midrange exploration exploitation searching-particle swarm optimization (meespso) in handling occlusion and similar appearance due to crowded environment |
| topic | QA76 Computer software |
| url | http://umpir.ump.edu.my/id/eprint/32183/3/Video%20Tracking%20System%20Using%20Midrange%20Exploration1.pdf http://umpir.ump.edu.my/id/eprint/32183/4/Video%20Tracking%20System%20Using%20Midrange.pdf http://umpir.ump.edu.my/id/eprint/32183/ https://doi.org/10.1109/ICSECS52883.2021.00053 http://10.1109/ICSECS52883.2021.00053 |
| url_provider | http://umpir.ump.edu.my/ |