Study of the effects of background and motion camera on the efficacy of Kalman and particle filter algorithms.
Description:
This study compares independent use of two known algorithms (Kalmar filter with background subtraction and Particle Filter) that are commonly deployed in object tracking applications. Object tracking in general is very challenging; it presents numerous problems that need to be addressed by the application in order to facilitate its successful deployment. Such problems range from abrupt object motion, during tracking, to a change in appearance of the scene and the object, as well as object to sc…
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Date:
August 2009
Creator:
Morita, Yasuhiro
Partner:
UNT Libraries