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Detection of Person in Image
Bednář, Luboš ; Mlích, Jozef (referee) ; Herout, Adam (advisor)
This work deals with detection of person in image. At the beginning, there are described some methods to be used for this type of detection. Of these we chose a method histograms of oriented gradients. For classification we use SVM. Part of this work is the design and implementation of a simple detector.
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Detection of groups of people in images
Mikulčík, Ondřej ; Zukal, Martin (referee) ; Číka, Petr (advisor)
This work describes two methods for detecting objects in images. The first method is the Viola-Jones, the second is the method of histograms oriented gradients. Start of work deals with the theoretical description of the methods. In the other parts of this work is presented creation of the training databases, implementation methods in the RapidMiner and their testing. In conclusion, the results and the use of methods for detection of groups of people in the database of images are evaluated.
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Advanced Detection of Human Face
Koníček, Igor ; Juránek, Roman (referee) ; Herout, Adam (advisor)
With detection, localization and pose estimation of face was used to deal as three different tasks. This thesis works with algorithms which unify this tasks into one algorithm. To solve this problem histograms of oriented gradients connected in tree based structure are used. First part of work briefly informs about methods used for face detection. Aim of this work is to experiment with given algorithms and discover their quality for face detection and glasses detection.
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Copy Detection
Kletzander, Martin ; Zemčík, Pavel (referee) ; Hradiš, Michal (advisor)
This thesis describes content-search methods. Chosen method is applied on finding similar images and video frames. Thesis also qualifies methods used for acceleration of this search. Methods \ are then evauated and their results discussed. Proposal of commonly used enhancements for these methods is made.
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Computer Aided Recognization and Classification of Coat of Arms
Vídeňský, František ; Kočí, Radek (referee) ; Zbořil, František (advisor)
This master thesis describes the design and development of the system for detection and recognition of whole coat of arms as well as each heraldic parts. In the thesis are presented methods of computer vision for segmentation and detection of an object and selected methods that are the most suitable. Most of the heraldic parts are segmented using a convolution neural networks and the rest using active contours. The Histogram of the gradient method was selected for coats of arms detection in an image. For training and functionality verification is used my own data set. The resulting system can serve as an auxiliary tool used in auxiliary sciences of history.
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Face Features Extraction Methods
Adamček, Ľubomír ; Orság, Filip (referee) ; Goldmann, Tomáš (advisor)
The face has been one of the most attractive available human biometries for a long time due to it's easy and convenient way to obtain it. Possibilities of it's utilization are broad - from security, through monitoring up to enternainment industry. This work presents the domain of face biometry and analyses 3 extraction methods of facial features - PCA, LBP and HOG. A part of this work is also an efficient implementation of these algorithms including GUI designed to experiment with this implementation and to evaluate its performance on a set of images capturing people in various conditions.
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Face Features Extraction Methods
Adamček, Ľubomír ; Orság, Filip (referee) ; Goldmann, Tomáš (advisor)
The face has been one of the most attractive available human biometries for a long time due to it's easy and convenient way to obtain it. Possibilities of it's utilization are broad - from security, through monitoring up to enternainment industry. This work presents the domain of face biometry and analyses 3 extraction methods of facial features - PCA, LBP and HOG. A part of this work is also an efficient implementation of these algorithms including GUI designed to experiment with this implementation and to evaluate its performance on a set of images capturing people in various conditions.
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Computer Aided Recognization and Classification of Coat of Arms
Vídeňský, František ; Kočí, Radek (referee) ; Zbořil, František (advisor)
This master thesis describes the design and development of the system for detection and recognition of whole coat of arms as well as each heraldic parts. In the thesis are presented methods of computer vision for segmentation and detection of an object and selected methods that are the most suitable. Most of the heraldic parts are segmented using a convolution neural networks and the rest using active contours. The Histogram of the gradient method was selected for coats of arms detection in an image. For training and functionality verification is used my own data set. The resulting system can serve as an auxiliary tool used in auxiliary sciences of history.
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Detection of groups of people in images
Mikulčík, Ondřej ; Zukal, Martin (referee) ; Číka, Petr (advisor)
This work describes two methods for detecting objects in images. The first method is the Viola-Jones, the second is the method of histograms oriented gradients. Start of work deals with the theoretical description of the methods. In the other parts of this work is presented creation of the training databases, implementation methods in the RapidMiner and their testing. In conclusion, the results and the use of methods for detection of groups of people in the database of images are evaluated.
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Detection of Person in Image
Bednář, Luboš ; Mlích, Jozef (referee) ; Herout, Adam (advisor)
This work deals with detection of person in image. At the beginning, there are described some methods to be used for this type of detection. Of these we chose a method histograms of oriented gradients. For classification we use SVM. Part of this work is the design and implementation of a simple detector.
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