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)
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Abstract
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.
| Item Type: | Article |
|---|---|
| Additional Information: | JCR® Category: Multidisciplinary Sciences. Quartile: Q2 |
| Uncontrolled Keywords: | Optimal Search Solution; Particle Swarm Optimization; Object Detection; Object Tracking |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Faculty/Division: | Faculty of Computer System And Software Engineering |
| Depositing User: | Pn. Hazlinda Abd Rahman |
| Date Deposited: | 28 Mar 2018 03:54 |
| Last Modified: | 22 Nov 2018 05:09 |
| URI: | http://umpir.ump.edu.my/id/eprint/20129 |
| Download Statistic: | View Download Statistics |
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