qFA: An Optimized Based-Tracking Approach Using Firefly Algorithm

Abstract

The Firefly Algorithm (FA) is a meta-heuristic optimization algorithm that mimics the social behaviour of fireflies. The FA is suggested as a good algorithm for tracking, but it still requires too much computational process. This study propose a different approach using the FA as a Tracking Algorithm by using Tsallis Entropy and qFA thresholds from the previous frame as heuristic for the next frame to enhance its speed.