Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Nurul Izzatie Husna Fauzi"'
Autor:
Nurul Izzatie Husna Fauzi, Zalili Musa
Publikováno v:
IEEE Access, Vol 12, Pp 126145-126158 (2024)
A surveillance system using object tracking enhances security by continuously monitoring and analyzing movements. However, tracking human movement in surveillance systems still presents challenges, especially in crowded environments. These challenges
Externí odkaz:
https://doaj.org/article/28929d672f58487eaecd5ee8e86f1f6f
Publikováno v:
2021 International Conference on Software Engineering & Computer Systems and 4th International Conference on Computational Science and Information Management (ICSECS-ICOCSIM).
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. Beside
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7ef3c6184fe9843f3fb40ad924b39678
https://doi.org/10.1109/icsecs52883.2021.00053
https://doi.org/10.1109/icsecs52883.2021.00053
Autor:
Nurul Izzatie Husna Fauzi, Junzo Watada, Zalili Binti Musa, Mohd Hafiz Mohd Hassin, Mohd Nizam Mohd Kahar
Publikováno v:
Advanced Science Letters. 24:7593-7597
The conventional Particle Swarm Optimization (PSO) still has weaknesses in finding optimal solutions especially in a dynamic environment. Therefore, we proposed a Global best Local Neighborhood in particle swarm optimization in order to solve the opt
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1895b84923676f9d0e8ef7b3da4ae0d1
https://doi.org/10.1166/asl.2018.12984
https://doi.org/10.1166/asl.2018.12984