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Recognition of persons clothing in the video signal
Mlýnková, Barbora ; Kříž, Petr (referee) ; Přinosil, Jiří (advisor)
This paper is dealing with the detection clothes characteristics in the picture, for the use of person identification. These characteristics are described and categorized. It also deals with the design of the database structure, which works with masks and categories of characteristics for their processing. This work uses haar cascades to detect face and to determine the position of clothing for the purpose of color detection
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Deep Neural Networks for Person Identification
Duban, Michal ; Herout, Adam (referee) ; Hradiš, Michal (advisor)
This master's thesis deals with design and implementation of convolutional neural networks used in person re-identification. Implemented convolutional neural networks were tested on two datasets CUHK01 a CUHK03. Results, comparable with state of the art methods were acheved on these datasets. Designed networks were implemented in Caffe framework.
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Database of non-biometric and soft biometric human traits
Mlýnková, Barbora ; Říha, Kamil (referee) ; Dvořák, Pavel (advisor)
This paper is dealing with the detection of secondary biometric and nonbiometric characteristics in the picture, for the use of person identification. These characteristics are described and categorized. It also deals with the design of the database structure, which works with masks and categories of characteristics for their processing. This work might be practically used for machine learning.
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Person's identification by means of bipedal locomotion
Krzyžanek, Jakub ; Richter, Miloslav (referee) ; Horák, Karel (advisor)
The aim of this thesis is to recognize a walking person in a sequence of images by defining his or her reference points to compare the course of their movement and then to identify the scanned person. Methods „k-means“ and „mean shift“ are used to obtain the silhouette of the person. However “environment model estimation” method is used here before those mentioned above. It is a type of a difference method and it helps to specify the scanning area and shortens the time of segmentation. During the search for the reference points the thesis focuses on three areas: the centre of the head and both ankle joints. Those points are later determined on the previous image sequence and compared with the real locations of the centre of the head and ankle joints marked by the user. The thesis also focuses on comparing the movement courses of those points and tries to identify the people whose walks are being scanned. Problematic situations which occurred during the whole process are analyzed in the end. The result of the thesis is an algorithm which can locate a moving person in an image sequence (video) and determine the reference points (centre of the head and ankles) to compare them and identify the scanned person.
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Harmonisation of Identification Card Management Systems at the University of Economics, Prague
Říha, Jan ; Pavlíček, Luboš (advisor) ; Nenadál, Karel (referee)
This thesis deals with problems of identification cards at the University of Economics, Prague. Its primary goal is to consider and evaluate the possibility of a transfer of the ID card management into the ISIS system. The thesis consists of four parts. The first one offers a complex analysis of the ID card management at the University. The second one analyses two ID card management systems: the NESA system, which is being used at the University now, and the ISIS system, which could also be used for the ID card management. The third part includes a proposal of adjustments in the ISIS system, which would make its ID card management implementation comply with the University's needs. The proposal describes general features of the system, relations to its environs and a graphical user interface. Finally the last part covers the actual state of the project and its differences from the proposal offered in the thesis. Information sources for the thesis were legal norms, University regulations and internal documents as well as the author's knowledge and experience gained through several years of the NESA system maintenance and numerous consultations with the University ID card management staff and ISIS developers. The main assets of this thesis lay in the comprehensive view of the ID card management at the University along with the proposal of the new ID card management system, which is to be integrated into ISIS.
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