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Vehicle Collision Detection
Kruták, Martin ; Sochor, Jakub (referee) ; Špaňhel, Jakub (advisor)
This bachelor thesis decribes a system for detection and tracking of multiple vehicles from a surveillance camera with a collision detection. The focus is on detection and prediction of collisions of vehicles in one direction - towards the camera. System is not fully automatic, meaning that some initial settings are needed (e.g. lines on the road) to quarantee a good functionality of the system. Accurate vehicles' contour is obtained in the detection phase, and object centroids are calculated. Each detected vehicle is assigned to the specific lane and tracked separately. This thesis then describes the method of prediction and detection of a collision. A rectangle is created around the ground part of every vehicle. This rectangle of each of the vehicles is enlarged and checked for the overlaps. Those rectangles that overlaps are then subject to further analysis for the collision detection. Experimental results show a success rate of 72 % for the accurate rectangle construction being a crucial part for the collision detection. The advantage of the proposed system is its possible usage in surveillance cameras monitoring the traffic flow on highways.
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Fast Re-Calibration of PTZ Camera for Traffic Analysis
Dřevo, Aleš ; Juránek, Roman (referee) ; Sochor, Jakub (advisor)
This thesis deals with problematics of PTZ-camera re-calibration during movement. The objective of this work is to keep the camera in calibration mode from default status when the known positions of Vanishing Points are in the image. With their use during movement, which is changing with motion of the camera, their positions are kept with help of two implemented methods. The first method is based on the principle of homography, the second on the principle of cross ratio. The results show that both of these methods work especially for keeping the positions of First Vanishing Points. In the case of the Second Vanishing Points there appear various problems and the results are often quite inaccurate.
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Cloud Application for Traffic Analysis
Valchář, Vít ; Sochor, Jakub (referee) ; Herout, Adam (advisor)
The aim of this thesis is to create a cloud application for traffic analysis without knowing anything about the system. The only input is address of the web camera pointing at traffic. This application is build on existing solution which is further enhanced. New modules for removing obstacles (such as lamppost covering part of the road) and splitting overlapping cars were added. The whole cloud solution consists of multiple components which communicates by HTTP messages and are controlled by web interface.
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Parallel Deep Learning
Šlampa, Ondřej ; Sochor, Jakub (referee) ; Hradiš, Michal (advisor)
Aim of this thesis is to propose how to evaluate favourableness of parallel deep learning. In this thesis I analyze parallel deep learning and I focus on its length. I take into account gradient computation length and weight transportation length. Result of this thesis is proposal of equations, which can estimate the speedup on multiple workers. These equations can be used to determine ideal number of workers for training.
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System for Automatic Parking Access Based on License Plate Recognition
Václavek, Patrik ; Sochor, Jakub (referee) ; Špaňhel, Jakub (advisor)
Goal of this thesis was to design and implement system operating in real time, which manages to detect incoming vehicle to the car park terminal, recognize its licence plate and automatically decide on its admission. System uses the Gaussian Mixture Model algorithm for detection of incoming vehicle. For reliable localization of licence plate are used two methods, the first one uses of extraction of Maximally Stable Extremal Regions (MSERs), the second one uses of Top-Hat transformation. Support Vector Machine (SVM) algorithm is used to decide, whether is the found area a licence plate. Character classification is performed using artificial neural network. For implementation was used library OpenCV. Thanks to optimalization is the extraction of MSERs accelerated up to seven times. The accomplished success rate in case of licence plate localization is 92,47% and in case of classification of characters is 90,03%.
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Detection, Tracking and Classification of Vehicles
Vopálenský, Radek ; Sochor, Jakub (referee) ; Juránek, Roman (advisor)
The aim of this master thesis is to design and implement a system for the detection, tracking and classification of vehicles from streams or records from traffic cameras in language C++. The system runs on the platform Robot Operating System and uses the OpenCV, FFmpeg, TensorFlow and Keras libraries. For detection cascade classifier is used, for tracking Kalman filter and for classification of the convolutional neural network. Out of a total of 627 cars, 479 were tracked correctly. From this number 458 were classified (trucks or lorries not included). The resulting system can be used for traffic analysis.
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Vehicles Re-Identification with License Plate
Hažmuka, Tomáš ; Špaňhel, Jakub (referee) ; Sochor, Jakub (advisor)
This thesis describes design and development of an aplication for reidentification of vehicles in multiple camera streams. It explains methods of image processing, object detection and identification of symbols. Created application uses OpenCV library. It is written in the C++ language, standart C++14. Furthemore, this thesis describes testing of application on input data including training of the reference data.
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Mapping the occurrence of teaching martial activities in PE at primary schools and grammar schools in Prague
Sochor, Jakub ; Zdobinský, Adam (advisor) ; Pavelka, Radim (referee)
Title: Mapping the occurrence of teaching martial arts in physical education at primary schools, secondary schools and grammar schools in Prague. Objective: The goal of the research is to find out how education in P.E. classes reflects the recommendation of framework education programme about education of martial arts, what percentage of clasśes do martial arts take in P.E. and to describe current trends of implementing martial arts to the curriculum or discover the reasons behind not implementing from the P.E. teacher's perspective. Methods: Analysis of literature of the given topic. We chose a survey as a research instrument. Based on previously published survey, which asked about the education of martial arts at a smaller selection of schools in Moravian region (Reguli, Ďurech, Vít, 2007), we created a purposeful survey. The survey was made on a platform service survio.com and distributed via e-mail to individual headmasters. They passed on the survey to P.E. teachers Results: Based on the evaluation of the survey, it was found that 75 of 84 teachers involve combat activities in P.E. classes. Of all of the questioned, 48 respondents were men and 34 women. Most of our respondents were between 31-40 years old. Most respondents teach only at E.P.A., 48 in total. Falling techniques are included by...
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Mapping the occurrence of teaching martial activities in PE at primary schools and grammar schools in Prague
Sochor, Jakub ; Zdobinský, Adam (advisor) ; Pavelka, Radim (referee)
Title: Mapping the occurrence of teaching martial arts in physical education at primary schools, secondary schools and grammar schools in Prague. Objective: The goal of the research is to find out how education in P.E. classes reflects the recommendation of framework education programme about education of martial arts, what percentage of clasśes do martial arts take in P.E. and to describe current trends of implementing martial arts to the curriculum or discover the reasons behind not implementing from the P.E. teacher's perspective. Methods: Analysis of literature of the given topic. We chose a survey as a research instrument. Based on previously published survey, which asked about the education of martial arts at a smaller selection of schools in Moravian region (Reguli, Ďurech, Vít, 2007), we created a purposeful survey. The survey was made on a platform service survio.com and distributed via e-mail to individual headmasters. They passed on the survey to P.E. teachers Results: Based on the evaluation of the survey, it was found that 75 of 84 teachers involve combat activities in P.E. classes. Of all of the questioned, 48 respondents were men and 34 women. Most of our respondents were between 31-40 years old. Most respondents teach only at E.P.A., 48 in total. Falling techniques are included by...
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