Midrange exploration exploitation searching particle swarm optimization with HSV-template matching for crowded environment object tracking

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Midrange exploration exploitation searching particle swarm optimization with HSV-template matching for crowded environment object tracking

Particle Swarm Optimization (PSO) has demonstrated its effectiveness in solving the optimization problems. Nevertheless, the PSO algorithm still has the limitation in finding the optimum solution. This is due to the lack of exploration and exploitation of the particle throughout the search space. Th...

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Bibliographic Details
Main Author:	Nurul Izzatie Husna, Muhamad Fauzi
Format:	Thesis
Language:	English
Published:	2023
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://umpir.ump.edu.my/id/eprint/41486/ http://umpir.ump.edu.my/id/eprint/41486/1/ir.NURUL%20IZZATIE%20HUSNA%20-PCC17011.pdf

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