Particle Filter versus Particle Swarm Optimization for Object Tracking
نویسندگان
چکیده
Recently, Particle Swarm Optimization (PSO) is introduced as an alternative to Particle Filter (PF) for object tracking. In this work, we compare a PSO tracker with two PF trackers, a classical PF tracker and an Enhanced Particle Filter (EPF) tracker, introduced in this paper. The accuracy of the tracking and, in particular, occlusion handling are considered. The different trackers are implemented in MatLab environment and compared against calculated Ground Truth of the object under tracking. Experimental results indicate that the implemented EPF tracker performs better than the PSO tracker, and it additionally has a lower computational overhead.
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تاریخ انتشار 2009