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Object route location
Julínek, Zbyněk ; Horák, Karel (referee) ; Richter, Miloslav (advisor)
This project describes image processing, characterization of scenes, especialy differences of screen captures and method motion objects there. Practical part defines the program, which is finding and tracking similar objects on video files or series of images. The program also computes predictions of next location for each object. This thesis is working with only synthesis scenes. I have chosen this way, because we can understand the synthesis scenes as a simplification of world. If solution of tracking and prediction on this scenes are suscesfull, then could be possible resolve also complicated problems.
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Recognizing People and Their Activities in Video from Security Cameras
Saloň, Juraj Samuel ; Švec, Tomáš (referee) ; Smrž, Pavel (advisor)
The aim of this thesis is to design and develop a system capable of recognizing the activities of people from surveillance cameras. Special attention is paid to the concept of complex situations or events that are defined by relations between identified objects. The first part surveys state-of-the-art techniques for object recognition, object tracking, and recognition of activities relevant to the realized solution. The second part describes the design and implementation of the devised system. It takes advantage of specific relations among two or more objects that are identified in video recordings, such as "person getting out of the car" or "one or more people met with a person of interest and they left together". Results are evaluated on video data extracted from available datasets and manually annotated. The mean average precision metric (MAP) on the data is reported.
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Mapping the Motion of People by a Stationary Camera
Bartl, Vojtěch ; Zemčík, Pavel (referee) ; Herout, Adam (advisor)
The aim of this diploma thesis is to obtain information on the motion of people in a scene from the record of the stationary camera. The procedure to detect exceptional events in the scene was designed. Exceptional events can be fast-moving persons, or persons moving in di erent places than everyone else in the scene. To trace the motion of persons, two algorithms were applied and tested - Optical flow and CAMSHIFT. The analysis of the resulting motions is performed by monitoring the progress of motion, and its comparison with the other motions in the scene. The analysis result is represented by detected exceptional motions that can be found in the video. The areas where the motion occurs in the scene, and where the motion is the most common are also described together with the motion direction analysis. The exceptional motion parts extracted from the video represent the main result of the work.
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Camera stereo-pair for object tracking in 3D
Manga, Marek ; Richter, Miloslav (referee) ; Babinec, Tomáš (advisor)
The first part deals with a design of simple pattern system that would allow tracking position of the object in space. There is described design of patterns and their properties are evaluated in several tests. The second part is devoted to a brief introduction on stereovision and calculation of the spatial coordinates of the object. Furthermore, there is described the resulting application for object tracking. Finally, is done repeabillity measure test.
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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.
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Linux user interface using camera
Dolníček, Petr ; Beneš, Radek (referee) ; Šmirg, Ondřej (advisor)
The goal of this was to create a fully functional program coded in C++, which is capable of real time object detection and mouse positioning in operating system Linux. Object detection is based on recognizing desired color and shape from webcam input. In this case it was a red circle. The main part of source code was generated via application Harpia. This is an application especially created for purposes of object tracking, border detection and picture processing. Most of used functions belong to OpenCV library. This library, as well as Harpia application, was created for computer vision, so it has many functions especially for purposes of my program. You can find many information about edge detection, color filtering and noise reduction in this document. I have also managed to control mouse cursor according to data that program detects. My program fulfils its purpose.
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Object tracking in video sequence using the integral histogram
Přibyl, Jakub ; Kříž, Petr (referee) ; Dorazil, Jan (advisor)
This thesis focuses on object tracking in real-time. Tracked object is defined by bounding rectangle. The thesis works on issue of image processing and using histogram for real-time object tracking. The main contribution of the work is the extension of the provided program to track object in real-time with changing bounding rectangle. Size of the rectangle is changing as the object moves closer of further from camera. Furthemore the detection behavior in different scenarios is analyzed. In addition, various weight calculations were tested. The program is written in C++ using OpenCV library.
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Hiding Moving Objects in Video Sequences
Dostál, Martin ; Zahrádka, Jiří (referee) ; Španěl, Michal (advisor)
Hiding moving objects in video sequences is an interesting topic in computer vision. In this thesis, a real-time single object tracking and removal method is proposed. An input video is assumed to be captured with static video camera. Motion detection is based on a background subtraction using Mixture of Gaussians as the representation of background. The object tracking is realized by a combination of blobs comparison and computation of optical flow using Lucas-Kanade method. Consequent object removal makes use of created background model.
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Object tracking in high-speed camera images
Myška, Michal ; Druckmüller, Miloslav (referee) ; Štarha, Pavel (advisor)
This master thesis is dealing with object tracking in high-speed camera images, within what we are trying to find their trajectory and orientation. The mathematical theory associated with this problem as well as the methods used fo image processing are described here. The main outcome is an application with a user interface through which we can calculate the desired parameters of the individual objects.
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Traffic Violation Detection on Crossroads
Karpíšek, Miroslav ; Bartl, Vojtěch (referee) ; Špaňhel, Jakub (advisor)
This bachelor thesis presents procedure for the detection of red-light violation. In the theoretical part of the thesis, the current solution aproaches used in image processing are described. The practical part focuses on creation of program for automatic traffic corridors detection, vehicle tracking and the current traffic light state detection. The results obtained by experimenting with the proposed procedure and the possibilities of its further improvement are also discussed.
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