Object tracking using firefly algorithm

Autor:	Ming‐Liang Gao, Xiao‐Hai He, Dai‐Sheng Luo, Jun Jiang, Qi‐Zhi Teng
Jazyk:	angličtina
Rok vydání:	2013
Předmět:	object tracking problem firefly algorithm metaheuristic optimisation algorithm social behaviour temperate summer sky optimisation based tracking architecture Computer applications to medicine. Medical informatics R858-859.7 Computer software QA76.75-76.765
Zdroj:	IET Computer Vision, Vol 7, Iss 4, Pp 227-237 (2013)
Druh dokumentu:	article
ISSN:	1751-9640 1751-9632
DOI:	10.1049/iet-cvi.2012.0207
Popis:	Firefly algorithm (FA) is a new meta‐heuristic optimisation algorithm that mimics the social behaviour of fireflies flying in the tropical and temperate summer sky. In this study, a novel application of FA is presented as it is applied to solve tracking problem. A general optimisation‐based tracking architecture is proposed and the parameters’ sensitivity and adjustment of the FA in tracking system are studied. Experimental results show that the FA‐based tracker can robustly track an arbitrary target in various challenging conditions. The authors compare the speed and accuracy of the FA with three typical tracking algorithms including the particle filter, meanshift and particle swarm optimisation. Comparative results show that the FA‐based tracker outperforms the other three trackers.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/eab5f84962334b67b73d5f5ff2a79d3f Zobrazit plný text záznamu Plný text View record in DOAJ