Applying Particle Filter Technology to Object Tracking
This study proposes an approach to track moving objects and to predict the observed targets based on the particle filter. This system includes three parts which are the foreground segmentation, the partial filtering, and the particle filter for tracking objects. In order to estimate the location of next state and track the moving objects, it applies the prior and current state based on the particle filter technology. Experimental result shows that this method can track objects accurately.
KeywordsParticle filter Foreground segmentation Track objects
This work was supported by the National Science Council under Grant MOST 103-2221-E-018-017.
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