Počítání objektů ve videosekvencích

Abstract

This thesis deals with the detection of cars in a video sequence. The task is to use machine learning to detect and calculate the number of passing cars. This step was preceded by a comparison of available algorithms. Following was an introduction to the frameworks dealing with said topic and the subsequent selection of the optimal framework for the issue and hardware. In the next chapter a solution is introduced and further adjustments are suggested which could be made to further improve the running of the program.