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Detection and Classification of Military Targets in a Videosignal
Košík, Michal ; Orság, Filip (referee) ; Drahanský, Martin (advisor)
The aim of this thesis is to design and implement algorithms for detection and classification of distant targets. The reader will become familiar with algorithms for detection of a movement, namely image difeerentiation and an algorithm based on a Bayes classifier. In the following two possible ways of classification, one using support vector machines and the second one utilizing a set of linear classifiers, will be introduced. At the end of this thesis results of the algorithms will be described and evaluated.
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Dynamics of motivation in achieving long-term goal
Kožušníková, Tereza ; Uhlář, Pavel (advisor) ; Hnilica, Karel (referee)
This thesis deals with the topic of motivation, specifically with the dynamic aspect of motivation in achieving a distant goal. The teoretical part of the thesis can be devided into two main parts, the first one is based on key motivational concepts and hopes targets on the most relevant theories, the second one focuses on the dynamic side of motivation as viewed from the perspective of the concept of goals. Emphasis is placed on psychologicaly distant and difficult goals. The thesis, especially the section focused on goals, reflects the latest theoretical findings, which serve not only to describe the problem, but underly many interventional techniques. The empiricial part, concept of an quantitative research, is based on the previous theoretical findings. The research aims to assess the possible impact of the proposed intervention technique focused on achieving a distant goal.
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Detection and Classification of Military Targets in a Videosignal
Košík, Michal ; Orság, Filip (referee) ; Drahanský, Martin (advisor)
The aim of this thesis is to design and implement algorithms for detection and classification of distant targets. The reader will become familiar with algorithms for detection of a movement, namely image difeerentiation and an algorithm based on a Bayes classifier. In the following two possible ways of classification, one using support vector machines and the second one utilizing a set of linear classifiers, will be introduced. At the end of this thesis results of the algorithms will be described and evaluated.
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