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Camera stereo-pair for object tracking in 3D
Manga, Marek ; Richter, Miloslav (referee) ; Babinec, Tomáš (advisor)
The first part deals with a design of simple pattern system that would allow tracking position of the object in space. There is described design of patterns and their properties are evaluated in several tests. The second part is devoted to a brief introduction on stereovision and calculation of the spatial coordinates of the object. Furthermore, there is described the resulting application for object tracking. Finally, is done repeabillity measure test.
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Feature Selection Based on Dynamic Mutual Information
Manga, Marek ; Klusáček, Jan (referee) ; Honzík, Petr (advisor)
This work analyzes and discuss a issue of implementation feature selection method called Dynamic mutual information (DMIFS). Original description of the DMIFS contains several irregularities, therefore DMIFS can not be implemented exactly as original method. Results of implemented DMIFS is compared with results of original DMIFS. This results shows that implemented DMIFS is similar to the DMIFS. Next part of the work describes design of two new methods based on the DMIFS. The first method called DmRMR merges mRMR and DMIFS. Better performance but worse stability of DmRMR was proved by several tests. The second method called WDMIFS is weighted version of the DMIFS based on AdaBoost algorithm. The WDMIFS has worse performance than DMIFS. Finnaly, manual for implementing DMIFS to RapidMiner and Weka is provided.
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Camera stereo-pair for object tracking in 3D
Manga, Marek ; Richter, Miloslav (referee) ; Babinec, Tomáš (advisor)
The first part deals with a design of simple pattern system that would allow tracking position of the object in space. There is described design of patterns and their properties are evaluated in several tests. The second part is devoted to a brief introduction on stereovision and calculation of the spatial coordinates of the object. Furthermore, there is described the resulting application for object tracking. Finally, is done repeabillity measure test.
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|
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Feature Selection Based on Dynamic Mutual Information
Manga, Marek ; Klusáček, Jan (referee) ; Honzík, Petr (advisor)
This work analyzes and discuss a issue of implementation feature selection method called Dynamic mutual information (DMIFS). Original description of the DMIFS contains several irregularities, therefore DMIFS can not be implemented exactly as original method. Results of implemented DMIFS is compared with results of original DMIFS. This results shows that implemented DMIFS is similar to the DMIFS. Next part of the work describes design of two new methods based on the DMIFS. The first method called DmRMR merges mRMR and DMIFS. Better performance but worse stability of DmRMR was proved by several tests. The second method called WDMIFS is weighted version of the DMIFS based on AdaBoost algorithm. The WDMIFS has worse performance than DMIFS. Finnaly, manual for implementing DMIFS to RapidMiner and Weka is provided.
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