Object Localization Based on Global Structure Constraint Model and Particle Swarm Optimization

In this paper, the Global Structure Constraint model (GSC) is used to present the target objects, and the volutionary algorithm, Particle Swarm Optimization (PSO) is exploited for searching the optimal status of the target in the new images. The experimental results show that this method can achieve effective results.