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Background Subtraction Using Ensembles of Classifiers with an ...

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Figure 5.2. Sample frames from PETS 2001 data setFigure 5.3. Sample frames from PETS 2006 data setOther th<strong>an</strong> the global illumination ch<strong>an</strong>ge at the end <strong>of</strong> the PETS 2001 data set it is not aterribly difficult data set. There are trees which sway lightly from wind <strong>an</strong>d some foregroundobjects that are <strong>of</strong>f far in the dist<strong>an</strong>ce. Figure 5.2 contains sample images from the PETS 2001data set.The PETS 2006 data set is the easiest data set <strong>of</strong> the three. It is in <strong>an</strong> indoor environment <strong>an</strong>dthe camera is in close proximity to the foreground objects. The largest difficultly is the reflect<strong>an</strong>ce<strong>of</strong> the floor which causes minor reflections from the foreground objects. Sample frames from thePETS 2006 data set may be found in Figure 5.3.5.3 Parameter SelectionEach <strong>of</strong> the three data sets were separated into two dichotomic, sequential sets, where onewas used for training/parameter exploration, <strong>an</strong>d the other was used for evaluation. Tables 5.2<strong>an</strong>d 5.3 show the precise splits that were used for each data set. Three parameters exist in the33

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