|
|
Object tracking using computer vision
Klapal, Matěj ; Přinosil, Jiří (referee) ; Burget, Radim (advisor)
This diploma thesis deals with posibilities of tracking object movement using computer vision algorithms. First chapters contain review of methods used for background subtraction, there are also listed basic detection approaches and thesis also mentions algorithms which allows tracking and movement prediction. Next part of this work informs about algoritms implemented in resulting software and its graphical user interface. Evaluation and comparison of original and modified algorithms is stationed at the end of this text.
|
|
|
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.
|
|
|
Optical Localization of Very Distant Targets in Multicamera Systems
Bednařík, Jan ; Beran, Vítězslav (referee) ; Herout, Adam (advisor)
This work presents a system for semi-autonomous optical localization of distant moving targets using multiple positionable cameras. The cameras were calibrated and stationed using custom designed calibration targets and methodology with the objective to alleviate the main sources of errors which were pinpointed in thorough precision analysis. The detection of the target is performed manually, while the visual tracking is automatic and it utilizes two state-of-the-art approaches. The estimation of the target location in 3-space is based on multi-view triangulation working with noisy measurements. A basic setup consisting of two camera units was tested against static targets and a moving terrestrial target, and the precision of the location estimation was compared to the theoretical model. The modularity and portability of the system allows fast deployment in a wide range of scenarios including perimeter monitoring or early threat detection in defense systems, as well as air traffic control in public space.
|
|
|
Multi-Person Tracking in Video from Mono-Camera
Vojvoda, Jakub ; Španěl, Michal (referee) ; Beran, Vítězslav (advisor)
Multiple person detection and tracking is challenging problem with high application potential. The difficulty of the problem is caused mainly by complexity of scene and large variations in articulation and appearance of person. The aim of this work is to design and implement system capable of detecting and tracking people in video from static mono-camera. For this purpose, an online method for tracking has been proposed based on tracking-by-detection approach. The method combines detection, tracking and fusion of responses to achieve accurate results. The implementation was evaluated on available dataset and the results show that it is suitable to use for this task. A method for motion segmentation was proposed and implemented to improve the tracking results. Furthermore, implementation of detector based on histogram of oriented gradients was accelerated by taking advantage of graphics processing unit (GPU).
|
|
|
Visual object tracking
Prítel, Pavol ; Richter, Miloslav (referee) ; Petyovský, Petr (advisor)
The thesis deals with detection of moving objects in image sequence. The target of this thesis is a design of object detection algorithm and its application in vehicle counting. The thesis is divided into three parts. The first part of this thesis includes theoretical analysis of given problem. The second part is related to the design and implementation of the algorithm. The third part deals with evaluation of results of the implemented algorithm.
|
|
|
Object tracking
Sochor, Petr ; Babinec, Tomáš (referee) ; Richter, Miloslav (advisor)
The goal of this thesis is to get familiar with techniques of image processing for computer vision. Functions from OpenCv library were used for corner point location. Furthermore, algorithms designed for identical point location were also used for location of points in sequence of images represented by a video sequence. In the thesis, two techniques were designed for solving this point comparison. Results of these methods are summarized in the end of thesis. Possible solutions of negative properties of these methods are presented.
|
|
|
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.
|
|
| |
|
|
RoboAuto - Car Detection
Melo, Jakub ; Řezníček, Ivo (referee) ; Juránek, Roman (advisor)
This thesis deals with detection and tracking of cars viewed from behind. For the detection, Adaboost algorithm is used. The tracking is done using Kalman filter. In the first part of the work, theoretical background of the object detection and tracking is described. Experiments with classifier training and their results are presented in the second part of the work.
|
|
|
Camera Based Object Tracking
Psota, Michal ; Orság, Filip (referee) ; Rozman, Jaroslav (advisor)
This work focuses on theoretical description, proposal and implementation of a program for coloured object tracking by a robot. Picture processing uses wrapper of OpenCV library - EmguCV. The application communicates with the robot and guides it to track a specified coloured object. The program is implemented in C# language.
|
guest ::
