National Repository of Grey Literature 71 records found  1 - 10nextend  jump to record: Search took 0.00 seconds. 
Real-Time Face Tracking
Ermak, Aleksei ; Špaňhel, Jakub (referee) ; Hradiš, Michal (advisor)
This bachelor thesis focuses on the issue of face tracking in real time. In the beginning, this work describes the existing methods of object tracking and face detection. The following part of this thesis concentrates on the design, implementation and testing of the convolutional neural network, which was proved as the effective solution for the face tracking issue. In addition to this, the implemented network is compared to those existing methods. The last part of the thesis describes the optimization of the designed network using OpenVINO toolkit provided by Intel.
People recognition using facial images
Lindovský, Michal ; Burget, Radim (referee) ; Rajnoha, Martin (advisor)
This bachelor thesis focuses on the person recognition between several millions of people in a few seconds. As a part of my thesis is comparison of two programs which are used for recognizing faces - OpenFace and Face Recognition. Computing times of localization and face encoding are compared. The accuracy of recognition in various tests is compared as well, such as blurred image, brightness changes, age of person or usage of sunglasses. Created web application is made for recognizing people in different databases. Is possible to add or remove databases of people in the application. The application allows to subsume people into database by gender automatically or manually. Face recognition can be speeded up by using multiple processor cores.
Design and Implementation of a Family Photo Management Web Application
Macháč, Jan ; Blažková, Dita (referee) ; Dydowicz, Petr (advisor)
This thesis focuses on the design and development of a web application that offers help in managing family photographic material, with the emphasis on data integrity and security, and maximum transparency when handling personal information. The application will be usable on any device with a screen, web browser and internet connection. One of its key features will be face detection on uploaded photographs.
Detection of Wanted People in Video
Bažout, David ; Musil, Petr (referee) ; Beran, Vítězslav (advisor)
The aim of this work is to create a software tool for searching of wanted people in video recordings from surveillance cameras. Wanted people are identified to the system using multiple facial photos. The output consists of information on the occurrence of wanted persons in specific frames. The problem consists of face detection and its subsequent identification task. Experiments with existing approaches on appropriate datasets provide relevant comparisons of method performance under different conditions. Appropriate methods and their optimal settings for this particular task are chosen according to the results of the experiments. The thesis also deals with the design of suitable architecture, research of existing libraries implementing the tested methods and other ways of optimizing the calculation. The result is the implementation of a user application that meets the specified parameters. The application's functionality has been tested on the own dataset simulating real-world conditions.
Head Pose Estimation in an Image by a Neural Network
Rybnikár, Lukáš ; Goldmann, Tomáš (referee) ; Orság, Filip (advisor)
Artificial neural networks are not a novelty, but their recent rise in popularity is noticeable as well as their gain of attention from the masses. This bachelor thesis focuses on the head pose estimation in an image using the convolution neural networks. The fields of use of neural networks are vast and during last years strong enough hardware has been developed to allow us to train these networks under commonly accessible conditions. In theoretical part there are neural networks introduced with an explanation of what they are, how they work, how they are divided followed by a detailed description of convolutional neural networks. In the practical part the necessary tools used for development needed to perform experiments, such as determining appropriate configuration for neural network and optimization to get the best results possible, are described.
Extraction of Face Covered by a Mask
Križka, Dominik ; Tinka, Jan (referee) ; Drahanský, Martin (advisor)
The bachelor thesis focuses on numerous techniques of extraction of a face covered by a mask, with assistance of the terahertz and infrared radiation. In order to resolve the issue, a database with photos of twelve people was created with various levels of face cover. The face extraction is then attempted with three techniques. First method uses ORB and SIFT descriptors on the face recognition. Descriptors were unable to successfully extract the masked face. The second technique is utilizes a facial landmark predictor. During the recognition of an unmasked face, the predictor is able to correctly represent regions of the face. With increased levels of coverage on face, it gets progressively more difficult to find facial landmarks correctly and inaccuracies occur. The last approach encodes the faces to numeric format and compares them between each other. The success rate of the extraction depends primarily on the quality of the model, which was trained on the neural network principle. The main contribution of the bachelor thesis, lies in the carried out experiments. In some cases of experiments, the identity of faces covered by scarf or balaclava were successfully revealed with usage of the infrared radiation and face encoding technique.
User Interface with Mobile Device and Camera
Jelínek, Dalibor ; Kapinus, Michal (referee) ; Najman, Pavel (advisor)
This Bachelor thesis deals with development of user interface which will allow to control mobile device using camera and without use of hands. Thesis includes research on existing non-contact user interface sollutions and relevat computer vision techlologies. The output of the practical part is Android application which serves as a web browser that can be controlled exclusively by facial movements and voice.
Face Recognition
Benda, Tomáš ; Hradiš, Michal (referee) ; Smrž, Pavel (advisor)
This thesis deals with human recognition on a videorecording. Convolution neural network was used for face recognition, from which we will get multidimensional vector, which will allow to determine person’s identity. There are demands imposed on the system, for it to be able to work in real time and could be used for example for person recognition at various conferences, or as a part of security system. Whole system is written in Python language. Part of this thesis is dataset in form of videorecords with persons.
Web Gallery with Person Identification
Hubl, Lukáš ; Špaňhel, Jakub (referee) ; Hradiš, Michal (advisor)
This bachelor thesis focuses on the creation of an application which serves as a web gallery for saving and viewing photographs with the possibility of automatic filtration of faces. The application chooses its instruments for creating particular parts as well as including the instruments for the automatic identity recognition, and its implementation into the created web application. The test results of the face's detection and the recognition of particular persons are shown on dataset, which was created intentionally for this work. Last chapter describes further possibilities for improving particular elements the resulting application.
Determining Head Rotation in Video from Security Camera
Blucha, Ondřej ; Drahanský, Martin (referee) ; Goldmann, Tomáš (advisor)
This thesis attempts to create an application to determine head rotation angle in video recorded from a security camera. The application consists of three parts: face detection, facial landmarks detection and determination of person's head rotation. The face detection has been implemented using Viola-Jones and HOG algorithms. Facial landmarks detection has been done using algorithm based on active shape model. Two methods to calculate the head rotation angles have been used: the first method works with anthropometric head features. The second method uses Perspective-n-Point algorithm to find the right rotation angles. Finally, all algorithms implemented have been tested and the proper parameters have been determined.

National Repository of Grey Literature : 71 records found   1 - 10nextend  jump to record:
Interested in being notified about new results for this query?
Subscribe to the RSS feed.