Research Article
[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 |
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