National Repository of Grey Literature 9 records found  Search took 0.01 seconds. 
Object tracking in video sequences
Libiš, Zdeněk ; Zukal, Martin (referee) ; Číka, Petr (advisor)
This thesis deals with object tracking in video sequence. It focuses on studying of one object´s motion in static background. Motion is defined by its direction and its speed. It was created 3 operators in RapidMiner to determine it. The operator called AccumulativeDifferenceImage searches a trajectory of motion by technique of accumulative difference image. Operator called OpticalFlow is created to describe type of motion and to find size of location´s transition. The operator called SpeedMeasuing is used for determining of speed, it calculates speed of object by using input´s binary masks in meters by second. In theoretical part of thesis are described the types of segmentation´s methods, basic types of block matching algorithms, attributes of video sequences and problem of recording of motions. In practical part are described implementations of every operator, the testing video sequences and showed results of tests for every operator.
Perception of vehicle speed
Kamasová, Lenka ; Bradáč, Albert (referee) ; Bilík, Martin (advisor)
The diploma thesis deals with the issue of driver´s subjective estimation of vehicle speed and at the same time it is a project dealing with acquisition and evaluation of data obtained during the driving tests. The perceived vehicle speed is examined from the perspective of a driver - the respondent, who has no possibility of controlling the actual vehicle speed on the vehicle's speedometer. The aim is to either confirm or refute whether the driver is able to adequately estimate the speed of a moving vehicle in the event of an accident as well as describe the factors that may affect a subjective estimation of the driver's speed.
Speed Measuring of Vehicles Using Radar
Novák, Adrián ; Široký, Adam (referee) ; Maršík, Lukáš (advisor)
This thesis focuses on the process of creating a desktop application that processes radar data, from which it detects vehicles, their speed, and direction in an appropriate manner.The core of the application uses a Fourier transformation to transform radar data from time to a frequency domain. This frequency spectrum is used to get the important informationfor the calculation of vehicle speed, followed by a correction of the calculation by the cosine factor. The result of this thesis is a desktop application, which allows its user to obtain information from radar data about the detected vehicle and subsequently, to determine its speed.
Object Speed Measuring Using The Fourier Transform
Zikmund, Tomáš ; Martišek, Karel (referee) ; Štarha, Pavel (advisor)
This work deals with object speed measuring using image analysis method. The reader will become familiar with a mathematical theory upon which the method is based. The mathematical algorithm for obtaining the speed of a given object is illustrated. Furthermore, an original computer program has been developed and the results of real measuring are shown.
Perception of oncoming vehicle speed
Pršeš, Faruk ; Rak, Martin (referee) ; Bilík, Martin (advisor)
The presented master thesis deals with perception of oncoming vehicle speed. The theoretical part defines basic terminology, types, and categories of motor vehicles. Furthermore, it establishes what effects sensory perception has on estimation of vehicle speed. The practical part focuses on the examination of the measured estimations of moving vehicle where the respondents are seated and the estimations of oncoming vehicle speed according to age, gender, driver’s experience, and type of vehicle. The design, preparation and realization of the experimental measurement is in this part of the thesis. Afterwards, it is followed by an evaluation of the measured data, which gives us a better idea of how precise the witness estimations are at the traffic accident.
Perception of vehicle speed
Kamasová, Lenka ; Bradáč, Albert (referee) ; Bilík, Martin (advisor)
The diploma thesis deals with the issue of driver´s subjective estimation of vehicle speed and at the same time it is a project dealing with acquisition and evaluation of data obtained during the driving tests. The perceived vehicle speed is examined from the perspective of a driver - the respondent, who has no possibility of controlling the actual vehicle speed on the vehicle's speedometer. The aim is to either confirm or refute whether the driver is able to adequately estimate the speed of a moving vehicle in the event of an accident as well as describe the factors that may affect a subjective estimation of the driver's speed.
Speed Measuring of Vehicles Using Radar
Novák, Adrián ; Široký, Adam (referee) ; Maršík, Lukáš (advisor)
This thesis focuses on the process of creating a desktop application that processes radar data, from which it detects vehicles, their speed, and direction in an appropriate manner.The core of the application uses a Fourier transformation to transform radar data from time to a frequency domain. This frequency spectrum is used to get the important informationfor the calculation of vehicle speed, followed by a correction of the calculation by the cosine factor. The result of this thesis is a desktop application, which allows its user to obtain information from radar data about the detected vehicle and subsequently, to determine its speed.
Object Speed Measuring Using The Fourier Transform
Zikmund, Tomáš ; Martišek, Karel (referee) ; Štarha, Pavel (advisor)
This work deals with object speed measuring using image analysis method. The reader will become familiar with a mathematical theory upon which the method is based. The mathematical algorithm for obtaining the speed of a given object is illustrated. Furthermore, an original computer program has been developed and the results of real measuring are shown.
Object tracking in video sequences
Libiš, Zdeněk ; Zukal, Martin (referee) ; Číka, Petr (advisor)
This thesis deals with object tracking in video sequence. It focuses on studying of one object´s motion in static background. Motion is defined by its direction and its speed. It was created 3 operators in RapidMiner to determine it. The operator called AccumulativeDifferenceImage searches a trajectory of motion by technique of accumulative difference image. Operator called OpticalFlow is created to describe type of motion and to find size of location´s transition. The operator called SpeedMeasuing is used for determining of speed, it calculates speed of object by using input´s binary masks in meters by second. In theoretical part of thesis are described the types of segmentation´s methods, basic types of block matching algorithms, attributes of video sequences and problem of recording of motions. In practical part are described implementations of every operator, the testing video sequences and showed results of tests for every operator.

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