A New Approach of Optimal Search Solution in Particle Swarm Optimization (PSO) Algorithm for Object Detection Method
In video tracking system, the big data era has brought with it new challenges to computer vision and image understanding. The main challenges are using the conventional method is the uncertainty in the accuracy and precision of the detected object motion. Furthermore, the process of detected an obje...
| المؤلفون الرئيسيون: | , , , , |
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| التنسيق: | مقال |
| اللغة: | English |
| منشور في: |
American Scientific Publisher
2018
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| الموضوعات: | |
| الوصول للمادة أونلاين: | http://umpir.ump.edu.my/id/eprint/20129/1/A%20New%20Approach%20of%20Optimal%20Search%20Solution%20in%20Particle%20Swarm%20Optimization.pdf |
| _version_ | 1825811894813851648 |
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| author | Zalili, Musa Mohd Hafiz, Mohd Hassin Nurul Izzatie Husna, Fauzi Rohani, Abu Bakar Watada, Junzo |
| author_facet | Zalili, Musa Mohd Hafiz, Mohd Hassin Nurul Izzatie Husna, Fauzi Rohani, Abu Bakar Watada, Junzo |
| author_sort | Zalili, Musa |
| collection | UMP |
| description | In video tracking system, the big data era has brought with it new challenges to computer vision and image understanding. The main challenges are using the conventional method is the uncertainty in the accuracy and precision of the detected object motion. Furthermore, the process of detected an object in every frame is time consuming as the entire frame must be detected to precisely locate the object system. Therefore, to overcome the several problems associated with the object detection method, a new approach in Particle Swarm Optimization (PSO) algorithm for optimal search solution as an alternative method to detect of object tracking quickly, precisely and accurately. Finally, performance analysis will be undertaken to justify the strength of the proposed method over conventional algorithm can reduce more than 60% of the required number of particles and iteration. |
| first_indexed | 2024-03-06T12:21:08Z |
| format | Article |
| id | UMPir20129 |
| institution | Universiti Malaysia Pahang |
| language | English |
| last_indexed | 2024-03-06T12:21:08Z |
| publishDate | 2018 |
| publisher | American Scientific Publisher |
| record_format | dspace |
| spelling | UMPir201292018-11-22T05:09:15Z http://umpir.ump.edu.my/id/eprint/20129/ A New Approach of Optimal Search Solution in Particle Swarm Optimization (PSO) Algorithm for Object Detection Method Zalili, Musa Mohd Hafiz, Mohd Hassin Nurul Izzatie Husna, Fauzi Rohani, Abu Bakar Watada, Junzo TK Electrical engineering. Electronics Nuclear engineering In video tracking system, the big data era has brought with it new challenges to computer vision and image understanding. The main challenges are using the conventional method is the uncertainty in the accuracy and precision of the detected object motion. Furthermore, the process of detected an object in every frame is time consuming as the entire frame must be detected to precisely locate the object system. Therefore, to overcome the several problems associated with the object detection method, a new approach in Particle Swarm Optimization (PSO) algorithm for optimal search solution as an alternative method to detect of object tracking quickly, precisely and accurately. Finally, performance analysis will be undertaken to justify the strength of the proposed method over conventional algorithm can reduce more than 60% of the required number of particles and iteration. American Scientific Publisher 2018-11 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/20129/1/A%20New%20Approach%20of%20Optimal%20Search%20Solution%20in%20Particle%20Swarm%20Optimization.pdf Zalili, Musa and Mohd Hafiz, Mohd Hassin and Nurul Izzatie Husna, Fauzi and Rohani, Abu Bakar and Watada, Junzo (2018) A New Approach of Optimal Search Solution in Particle Swarm Optimization (PSO) Algorithm for Object Detection Method. Advanced Science Letters, 24 (10). pp. 7682-7685. ISSN 1936-6612. (Published) https://doi.org/10.1166/asl.2018.12999 doi: 10.1166/asl.2018.12999 |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Zalili, Musa Mohd Hafiz, Mohd Hassin Nurul Izzatie Husna, Fauzi Rohani, Abu Bakar Watada, Junzo A New Approach of Optimal Search Solution in Particle Swarm Optimization (PSO) Algorithm for Object Detection Method |
| title | A New Approach of Optimal Search Solution in Particle Swarm Optimization (PSO) Algorithm for Object Detection Method |
| title_full | A New Approach of Optimal Search Solution in Particle Swarm Optimization (PSO) Algorithm for Object Detection Method |
| title_fullStr | A New Approach of Optimal Search Solution in Particle Swarm Optimization (PSO) Algorithm for Object Detection Method |
| title_full_unstemmed | A New Approach of Optimal Search Solution in Particle Swarm Optimization (PSO) Algorithm for Object Detection Method |
| title_short | A New Approach of Optimal Search Solution in Particle Swarm Optimization (PSO) Algorithm for Object Detection Method |
| title_sort | new approach of optimal search solution in particle swarm optimization pso algorithm for object detection method |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://umpir.ump.edu.my/id/eprint/20129/1/A%20New%20Approach%20of%20Optimal%20Search%20Solution%20in%20Particle%20Swarm%20Optimization.pdf |
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