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Moving Objects Detection in Video Sequences
Musil, Jakub ; Beran, Vítězslav (referee) ; Španěl, Michal (advisor)
This publication is dedicated to creating appliaction for motion detection in video sequence. There is summary of several possible methods to solve this matter in theoretical and practical point of view with postive and negative properties. This methods are histograms subtraction and subtraction of each pixel in the tested frame. Fundamental part of this publication is application for motion detection. There are many of tests for created detector for several type moving object included in input video sequence. Results are intimately describe.
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"Sci-Fi" Music Library
Holas, Jan ; Šolony, Marek (referee) ; Polok, Lukáš (advisor)
This thesis deals with usage of computer vision as a way of interaction between human and computer. It introduces implementation of music library and audio player which is controlled by showing CD jewel cases of music albums and audio player paper control cards on a camera connected to a computer. This thesis describes algorithms for segmentation of an object from scene based on object's rectangular shape and matching that image with image database (music album database) using SURF feature detector. In conclusion, it summarizes achieved results and mentions some ideas and possibilities of further development.
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Image object detection using template
Novák, Pavel ; Mašek, Jan (referee) ; Burget, Radim (advisor)
This Thesis is focused to Image Object Detection using Template. Main Benefit of this Work is a new Method for sympthoms extraction from Histogram of Oriented Gradients using set of Comparators. In this used Work Methods of Image comparing and Sympthoms extraction are described. Main Part is given to Histogram of Oriented Gradients Method. We came out from this Method. In this Work is used small training Data Set (100 pcs.) verified by X-Validation, followed by tests on real Sceneries. Achieved success Rate using X-Validation is 98%. for SVM Algorithm.
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Moving Objects Detection in Video Sequences
Musil, Jakub ; Beran, Vítězslav (referee) ; Španěl, Michal (advisor)
This publication is dedicated to creating appliaction for motion detection in video sequence. There is summary of several possible methods to solve this matter in theoretical and practical point of view with postive and negative properties. This methods are histograms subtraction and subtraction of each pixel in the tested frame. Fundamental part of this publication is application for motion detection. There are many of tests for created detector for several type moving object included in input video sequence. Results are intimately describe.
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|
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"Sci-Fi" Music Library
Holas, Jan ; Šolony, Marek (referee) ; Polok, Lukáš (advisor)
This thesis deals with usage of computer vision as a way of interaction between human and computer. It introduces implementation of music library and audio player which is controlled by showing CD jewel cases of music albums and audio player paper control cards on a camera connected to a computer. This thesis describes algorithms for segmentation of an object from scene based on object's rectangular shape and matching that image with image database (music album database) using SURF feature detector. In conclusion, it summarizes achieved results and mentions some ideas and possibilities of further development.
|
|
|
Image object detection using template
Novák, Pavel ; Mašek, Jan (referee) ; Burget, Radim (advisor)
This Thesis is focused to Image Object Detection using Template. Main Benefit of this Work is a new Method for sympthoms extraction from Histogram of Oriented Gradients using set of Comparators. In this used Work Methods of Image comparing and Sympthoms extraction are described. Main Part is given to Histogram of Oriented Gradients Method. We came out from this Method. In this Work is used small training Data Set (100 pcs.) verified by X-Validation, followed by tests on real Sceneries. Achieved success Rate using X-Validation is 98%. for SVM Algorithm.
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