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

Table 2

Parameter optimization of correlation filter using EPSO.

	Optimal tradeoff parameter estimation for correlation filter using EPSO
1.	Each particle’s position and velocity parameters are randomly initialized
2.	Fitness function value estimation using Equations (16) and (17) for each particle
3.	Calculation of local best pertaining to each involved particle
4.	Calculation of global best pertaining to each involved swarm
5.	The position of particles is updated using Equation (15) [21]
6.	The velocity of particles is updated using Equation (17) [21]
7.	Reinitialize the velocity if the velocity of particles becomes equal to zero
8.	Fitness function value estimation using Equations (16) and (17) for each particle
9.	Calculation of local best pertaining to each particle
10.	Calculation of global best pertaining to each swarm
11.	If stopping condition is achieved, terminate the algorithm. Otherwise, go back to Step 5