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MediaDiff - Diff for Static Images
Brothánek, Jan ; Mlích, Jozef (referee) ; Chmelař, Petr (advisor)
This bachelor's thesis focuses on comparison of digital documents, especially static images. This paper presents algorithms, which are usable for general data comparison and also specific algorithms major in image data comparison. We introduce possibilities of document comparison which are now available for users. On the basis of this current situation, a prototype of new modular application MediaDiff for various documents comparison is designed and implemented. We describe in detail each stage of the application development, problems which had arisen and their solutions. The possibilities of future development of the application are discussed.
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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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MediaDiff - Diff for Static Images
Brothánek, Jan ; Mlích, Jozef (referee) ; Chmelař, Petr (advisor)
This bachelor's thesis focuses on comparison of digital documents, especially static images. This paper presents algorithms, which are usable for general data comparison and also specific algorithms major in image data comparison. We introduce possibilities of document comparison which are now available for users. On the basis of this current situation, a prototype of new modular application MediaDiff for various documents comparison is designed and implemented. We describe in detail each stage of the application development, problems which had arisen and their solutions. The possibilities of future development of the application are discussed.
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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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