Object Tracking
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In this project the aim is to track the position of a particle using Swarm Optimization. ...learn more
Overview / Usage
Initially a particle is inserted in a set of n frames using a benchmark function. Then the trajectory of particle is predicted using Re-sampling algorithm. In order to get even more precise prediction we apply Swarm Optimization.
In case of this project a hybrid technique of Swarm Optimization was used. The technique was PSOGSA that updates the predicted position of particle using particle velocity and acceleration.
Coverpage courtesy: https://www.codeproject.com/KB/library/797144/tracking_example.jpg.