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Techniques for movement detection and prediction in video sequences
Nešpor, Zdeněk ; Říha, Kamil (referee) ; Číka, Petr (advisor)
This bachelor thesis deals with techniques for motion detection and prediction in digital images. After an initial consideration over the need of digital video compression a basic concepts of digital video is introduced. The MPEG-1 video compression standard and using of motion detection and prediction inside the compression technique is described in the next part. The following part describes motion estimation methods. The most widely used motion estimation methods, block matching methods, are described in detail together with proposed improvements. The second part of this paper concentrates on a developed application in C++ language that demonstrates performance of described motion estimation techniques on slow, medium and fast motion. The results of testing and suitable method for each motion type is in the end of this work.
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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.
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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.
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Techniques for movement detection and prediction in video sequences
Nešpor, Zdeněk ; Říha, Kamil (referee) ; Číka, Petr (advisor)
This bachelor thesis deals with techniques for motion detection and prediction in digital images. After an initial consideration over the need of digital video compression a basic concepts of digital video is introduced. The MPEG-1 video compression standard and using of motion detection and prediction inside the compression technique is described in the next part. The following part describes motion estimation methods. The most widely used motion estimation methods, block matching methods, are described in detail together with proposed improvements. The second part of this paper concentrates on a developed application in C++ language that demonstrates performance of described motion estimation techniques on slow, medium and fast motion. The results of testing and suitable method for each motion type is in the end of this work.
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