Object tracking using firefly algorithm

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...

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Bibliographic Details
Published in:IET Computer Vision
Main Authors: Ming‐Liang Gao, Xiao‐Hai He, Dai‐Sheng Luo, Jun Jiang, Qi‐Zhi Teng
Format: Article
Language:English
Published: Wiley 2013-08-01
Subjects:
object tracking problem
firefly algorithm
metaheuristic optimisation algorithm
social behaviour
temperate summer sky
optimisation based tracking architecture
Online Access:https://doi.org/10.1049/iet-cvi.2012.0207
Description
Summary: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.
ISSN:1751-9632
1751-9640

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