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Face Detection and Recognition
Ponzer, Martin ; Janáková, Ilona (referee) ; Horák, Karel (advisor)
This paper discusses problems of computer vision, which deals with face detection and recognition in image and video sequence at real time. All methods are designed for color images and are based on skin detection on the basis of information of human skin color. For skin detection is used very effective method Gaussian distribution. All of the areas, which have human skin color, are classified. This classification specifies, which area is or isn’t face. For face detection is used correlation method, complete with eigenfaces method. All areas classified as a face are subsequently recognized by the eigenfaces method. Result of recognition phase is information about human identity.
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Road Surface Detection
Melichar, Jiří ; Motlíček, Petr (referee) ; Hradiš, Michal (advisor)
This bachelor`s thesis deals with a method for road surface detection in picture and is inspired by work of S. Thrun and H. Dahlkamp. The method works with color models of road, which are adjusted to changing environment. Then these models are used to classify the picture. Output of this is the detected road. The method is thoroughly analyzed, implemented and tested. Test results are discussed and proposals for improvements are presented.
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Gesture Recognition
Svoboda, Tomáš ; Mlích, Jozef (referee) ; Hradiš, Michal (advisor)
This Bachelor's thesis is engaged in recognition hand gestures. The advantages and disavantages of various color models for skin color detection are discussed here. Skin is detected by look-up table. Look-up table is created from histogram of skin color and optional from Gaussian distribution, whose parameters are estimated from histogram. Hidden Markov models are used for gesture classification. The HTK toolkit have been used for working with the models. Own decoder of Hidden Markov models based on Viterbi algorithm was created for real-time gesture recognition. Several experiments were accomplished with data sets for 4 gestures. The results of the experiments are very good.
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Interactive software tools for teaching signal and image processing
Olbert, Jaroslav ; Rajmic, Pavel (referee) ; Mangová, Marie (advisor)
The bachelor’s thesis deals with creating Java applets to support teaching signal and image processing. The theoretical part of the thesis briefly describes the history and advantages of the Java language; subsequently the theories for individual applets and descriptions of the source codes are presented. The practical part consists of the design and creation of applets for linear combinations of images, the least squares method and recommendation of an aiming point on the darts target.
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The comparison of knowledge of electromagnetic field theory for laymen and experts within the civil emergency preparedness
VESELÁ, Barbora
The thesis "Comparison of knowledge of electromagnetic field theory of the laity and experts in the context of civil emergency preparedness" to put three goals: 1. The formation of the structure of an electromagnetic field for experts. 2. The reaching of the comparison of knowledge among experts and laymen. 3. Statistical processing of the results. The author has set the following hypotheses: H1. Theoretical distribution of knowledge in a sample of the general public will have a normal distribution . H2. Theoretical distribution of knowledge in a sample of professional community will not have a normal distribution. H3. The comparison of knowledge among the experts and the laymen will lead to an alternative hypothesis. The thesis was based on the knowledge of the theory curricular process. On the basis of this theory was made up not only the structure of the electromagnetic field, but also the questionnaire. An important step in this thesis was the creating a model structure of electromagnetic field . The structure was based on an analysis of the scientific system - the system of educational programs in the field of civil protection.The same structure was applied to the general public. An important step was to compare the knowledge of protect the population from experts and laymen. This issue has not been investigated in detail and it did not compare the knowledge of laymen and experts in the studied physics. The idea came from the possibility of extraordinarily events where respondents can meet with electromagnetic fields and will need the relevant theoretical knowledge. The aim was to the statistical evaluate of the applied questionnaires. There were applied nonparametric and parametric testing as the verification methods. The theoretical division of knowledge of experts is supposed Poisson distribution, on the contrary, the theoretical division of the general public should have a normal distribution. There was also compared the difference between knowledge of laymen and professionals. The using of the statistical methods have been received and confirmed the hypothesis and the thesis goals were fulfilled.
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Interactive software tools for teaching signal and image processing
Olbert, Jaroslav ; Rajmic, Pavel (referee) ; Mangová, Marie (advisor)
The bachelor’s thesis deals with creating Java applets to support teaching signal and image processing. The theoretical part of the thesis briefly describes the history and advantages of the Java language; subsequently the theories for individual applets and descriptions of the source codes are presented. The practical part consists of the design and creation of applets for linear combinations of images, the least squares method and recommendation of an aiming point on the darts target.
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Gesture Recognition
Svoboda, Tomáš ; Mlích, Jozef (referee) ; Hradiš, Michal (advisor)
This Bachelor's thesis is engaged in recognition hand gestures. The advantages and disavantages of various color models for skin color detection are discussed here. Skin is detected by look-up table. Look-up table is created from histogram of skin color and optional from Gaussian distribution, whose parameters are estimated from histogram. Hidden Markov models are used for gesture classification. The HTK toolkit have been used for working with the models. Own decoder of Hidden Markov models based on Viterbi algorithm was created for real-time gesture recognition. Several experiments were accomplished with data sets for 4 gestures. The results of the experiments are very good.
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Road Surface Detection
Melichar, Jiří ; Motlíček, Petr (referee) ; Hradiš, Michal (advisor)
This bachelor`s thesis deals with a method for road surface detection in picture and is inspired by work of S. Thrun and H. Dahlkamp. The method works with color models of road, which are adjusted to changing environment. Then these models are used to classify the picture. Output of this is the detected road. The method is thoroughly analyzed, implemented and tested. Test results are discussed and proposals for improvements are presented.
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Face Detection and Recognition
Ponzer, Martin ; Janáková, Ilona (referee) ; Horák, Karel (advisor)
This paper discusses problems of computer vision, which deals with face detection and recognition in image and video sequence at real time. All methods are designed for color images and are based on skin detection on the basis of information of human skin color. For skin detection is used very effective method Gaussian distribution. All of the areas, which have human skin color, are classified. This classification specifies, which area is or isn’t face. For face detection is used correlation method, complete with eigenfaces method. All areas classified as a face are subsequently recognized by the eigenfaces method. Result of recognition phase is information about human identity.
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