Detekce pohybu ve videosekvencích
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Vysoká škola báňská - Technická univerzita Ostrava
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Abstract
This paper describes the basic methods of motion detection in video sequences and discusses
different approaches to solving this task. There are described advantages and disadvantages of
different approaches and their suitability to specific examples. Furthermore there is described
the article Abnormal Motion Detection in an occlusive Environment as a basis for the implementation
and expansion of this method. Part of this work is the implementation of the analyzer as
a cloud based service using NodeJS and native module in C++. This connection provides easy
scalability and also enough computing power. There is also analyzed the appropriate approach
to the development of such services and described the process of application assembly automation
and configuration of infrastructure. This work also includes test for analyzer on several
existing datasets, including the production of own one.
Description
Import 03/11/2016
Subject(s)
Optical Flow, Foreground and background separation, DBScan, K-means, C++
and NodeJS interoperability, Cloud, Atomation