[Retracted] Optimization of Correlation Filters Using Extended Particle Swarm Optimization Technique

Table 1

Parameter optimization of correlation filter using PSO.

	Optimal tradeoff parameter estimation for correlation filter using PSO
1.	Each particle’s position and velocity parameters are randomly initialized
2.	Fitness function value estimation using Equations (15) and (17) for each particle
3.	Calculation of best value for each particle
4.	Calculation of Swarm’s global best
5.	The position of particles is updated using Equation (11) [19]
6.	The velocity of particles is updated using Equation (10) [19]
7.	Fitness function value estimation using Equations (16) and (17) for each particle
8.	Calculation of local best pertaining to each particle
9.	Calculation of global best pertaining to each swarm
10.	If stopping condition is achieved, terminate the algorithm. Otherwise, go back to Step 5