Study of the effects of background and motion camera on the efficacy of Kalman and particle filter algorithms.

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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 scene occlusions, and camera motion among others. It is important to take into consideration some issues, such as, accounting for noise associated with the ... continued below

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Morita, Yasuhiro August 2009.

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This thesis is part of the collection entitled: UNT Theses and Dissertations and was provided by UNT Libraries to Digital Library, a digital repository hosted by the UNT Libraries. It has been viewed 263 times . More information about this thesis can be viewed below.

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  • Morita, Yasuhiro

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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 scene occlusions, and camera motion among others. It is important to take into consideration some issues, such as, accounting for noise associated with the image in question, ability to predict to an acceptable statistical accuracy, the position of the object at a particular time given its current position. This study tackles some of the issues raised above prior to addressing how the use of either of the aforementioned algorithm, minimize or in some cases eliminate the negative effects

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UNT Theses and Dissertations

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  • August 2009

Added to The UNT Digital Library

  • March 17, 2010, 11:40 a.m.

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  • May 10, 2010, 2:34 p.m.

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Citations, Rights, Re-Use

Morita, Yasuhiro. Study of the effects of background and motion camera on the efficacy of Kalman and particle filter algorithms., thesis, August 2009; Denton, Texas. (digital.library.unt.edu/ark:/67531/metadc12166/: accessed July 25, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; .