National Repository of Grey Literature 65 records found  1 - 10nextend  jump to record: Search took 0.00 seconds. 
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.
Mobile application for automatic face detection and recognition
Stejskalová, Kristina ; Kolář, Radim (referee) ; Hesko, Branislav (advisor)
This bachelor thesis aims to implement face detection and face recognition method in Java and creating an Android application for face detection and recognition. Methods generally used for face detection and recognition are described in theoretical part. Chosen methods for face detection and face recognition are implemented and then used for building mobile application.
Raspberry Pi: programming by means of Matlab/Simulink
Dadej, Vincent ; Švarc, Ivan (referee) ; Matoušek, Radomil (advisor)
The diploma thesis focuses on programming in the Matlab for the Raspberry Pi 3 platform. For the purpose of the presentation, there are two applications designed for Raspberry Pi that are using available hardware, camera and servos. The first application serves as colour object detecting and accurate tracking by using camera calibration. The second application serves as a face detection and recognition. These applications are implemented by modern methods and knowledge of computer vision. Tracking of the objects and face recognition are verified by an experiment that reveals the accuracy of the used methods.
I am here it is not
Daneková, Petra ; Hosnedlová, Klára (referee) ; Kohoutková, Karolína (advisor)
I have chosen the concept of mimicry, camouflage and disappearance because the subject of fusion and invisibility interests me. To vanish in the nature or in the city just with the help of body and clothes. For the purpose of this thesis I have created an outfit that will prove effectiveness of camouflage for the ordinary people watched by cameras everyday. By using this outfit I should find out whether digital devices are sophisticated enough to recognize a person even in the case that he has more legs or arms and his face is covered only with the eyes visible. In my thesis I am using several kinds of digital devices by which I am trying to figure out the effectiveness of created outfit. For comparation and better capture of person I have created two types of outfit. One of them is monochromatic while the second one, and more essential one, is printed with glitch. I am testing these two outfits both in exterior and interior. The outcome of the thesis are photographs and videos of person dressed in created outfits.
Embedded video processing for surveillance systems
Gerych, Lukáš ; Polák, Ladislav (referee) ; Frýza, Tomáš (advisor)
The thesis includes the design and implementation of embedded system to capture static scenes and image evaluation for the surveillance system. It is performed on a tiny computer Raspberry Pi with ARM processor. Methods are provided for various types of detection in the image and their implementation using OpenCV libraries. It also deals with ways to access the system for the control and viewing records of detections.
Biometric 2D face recognition from camera system placed on a quadrocopter
Mikundová, Lea ; Mráček, Štěpán (referee) ; Drahanský, Martin (advisor)
This Bc. thesis is devoted to face recognization from camera system placed on a quadrocopter. The teoretical part is about the most used methods for detection and face recognition and their comparison. The next part is about motion capturing from quadrocopter. Practical part of thesis is devoted to implementation of algorithms for face detection and recognization by OpenCV library and evaluation of algorithm in respect to distance and angle of quadrocopter due to captured person.
Tracking and Recognition of People in Video
Šajboch, Antonín ; Hradiš, Michal (referee) ; Smrž, Pavel (advisor)
The master's thesis deals with detecting and tracking people in the video. To get optimal recognition was used convolution neural network, which extracts vector features from the enclosed frame the face. The extracted vector is further classified. Recognition process must take place in a real time and also with respect are selected optimal methods. There is a new dataset faces, which was obtained from a video record at the faculty area. Videos and dataset were used for experiments to verify the accuracy of the created system. The recognition accuracy is about 85% . The proposed system can be used, for example, to register people, counting passages or to report the occurrence of an unknown person in a building.

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