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moving objects tracking
Bradáč, František ; Gogol, František (referee) ; Richter, Miloslav (advisor)
The thesis deals with founding and tracking of moving objects inside of visual field and prediction of their future position. The created methods combine few approaches for solution this problem. First, the most probable of the static part of the observed scene is created. Then this model is used to detect moving objects. The correspondence of objects between two consecutive pictures is performed by analyzing of motion of these objects. For analyzing of motion of the objects optical flow is used. Prediction of the future position is performed by Kalman filter. Providing suitable condition these methods are able to track the moving objects even if these objects are passing closely or colliding. The methods are implemented in language C++ and their functionality was verified by sample with scanned non static scene.
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Path monitoring
Sedlařík, Jan ; Janáková, Ilona (referee) ; Richter, Miloslav (advisor)
This bachelor's thesis deals with path monitoring theme. To successful accomplishment of this task it is right to have the high-quality videos. It is imperative to concentrate to their correct scanning and preprocessing. Detection of objects and their monitoring are one of the most elementary parts of the challenge. Important part of image separation is edge detection.
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Optical measurement system
Opravil, Jan ; Horák, Karel (referee) ; Richter, Miloslav (advisor)
This diploma thesis deals with the creation and testing of optical measurement system. There are basic parts of computer vision. Some ways of image preprocessing and templates matching are discussed. Everything is directed to a particular practical task. Selected methods for templates matching are the Correlation Method, the Classical and Hybrid Hausdorff Distance, Radial and Circular Sampling Space. These methods are programmed in C++ and they are compared with function for searching templates from specific library.
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Image registration using Optical Flow method
Bistrý, Jan ; Provazník, Ivo (referee) ; Malínský, Miloš (advisor)
Registration of medical images is technique, which is developing with new hybrid diagnostic imaging systems. Nowadays is a trend in image registration focused on monomodality and multimodality images registration. The first part of this master’s thesis is intent on present basic information about image registration. Concretely is intending on image transformation, interpolation, criteria function and at optimalization. Further part present realized Optical Flow technique and used “Demon” algorithm for image registration. The next part is focused on presentation of program solution and GUI. In the last section of this master’s thesis is verifying of created program on usual images and real CT images.
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Image Motion Detection
Zítka, Michal ; Richter, Miloslav (referee) ; Horák, Karel (advisor)
This bachelor project dissert on detection of motion in image. Also sumary basic methods for detection of motion in image and method of segmentation using active contour. In practical section is attention paid to detection of motion in video camera screenshots.
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Measuring of Vehicle Instant Velocity
Štencel, Jakub ; Petyovský, Petr (referee) ; Horák, Karel (advisor)
The theoretical part of this paper summarizes the methods for motion analysis in an image. Inspected in detail are the methods used for motion detection in the image sequences. The practical part is focused on finding the significant points in the image (the targeting reticles on the body of the vehicle) which are then used to calculate the speed of the vehicle.
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Videodetection - traffic monitoring
Kozina, Lubomír ; Beszédeš,, Marián (referee) ; Honec, Peter (advisor)
In this master’s thesis on the topic Videodetection - traffic monitoring I was engaged in searching moving objects in traffic images sequence. There are described various methods background model computation and moving vehicles marking, counting or velocity calculating in the thesis. It was created a graphical user interface for traffic scene evaluation in MATLAB.
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Determination of Motion Parameters in Machine Vision
Dušek, Stanislav ; Horák, Karel (referee) ; Janáková, Ilona (advisor)
This thesis describe about determination of camera motion parameters in plane. At first there are introduce the basics of motion tracking, is focused to find out displacement between two input images. Below is describe the algorithm GoodFeatruresToTrack, which find out the most significant point in a first image. The point is search out the good point, which will be easy to track in next image, reduce the data volume and prepare the input information (array of significant point) for the algorithm Lucas-Kanade optical flow. In second part is deal with processing and utilization estimations optical flow. There is median filtration, below is describe computation of homogenous transformation, which describe all affine transformation in affine space. As the result are coordinates, which describe the shift between the two input images as X-axis and Y-axis value. The project used the library Open Computer Vision.
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Moving object detection
Škuta, Pavel ; Petyovský, Petr (referee) ; Richter, Miloslav (advisor)
The aim of this these was devise a automatic system applications, monitoring entering of motors vechitles with in automaric collection of trafic data. Automatic system allows identify of mooving vechitlses in slow speed and searching of the area registration number. Theoretical analysis of possible kind solving problems detection moving vechitles and their localization. From possible solutions was selected solution by camera systems. Was take a pictures of vechitles, whitch is as true of the real scene. On the pictures was testing of algorithm for detecting of area registraction number of vechitles. Designed system is possible to use for automatic monitoring mooving entering vechitles.
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Optic flow software module design
Grulich, Jan ; Růžička, Michal (referee) ; Věchet, Stanislav (advisor)
This bachelor thesis is focused on the analysis of optical flow. The first part is dedicated to the theoretical analysis of the motion of image features. Especially important is finding quality features that can be tracked in a videosequence. Detailed mathematical description of the necessary algorithms is presented. The second part describes the software and its functions with the implemented algorithms. The main function is determining the distance of an object from the camera based on its velocity. Empirical tests of this function are presented.
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