Co-author(s) :

Simonyan D. A.

Abstract:

Detecting areas of change in various images of the same scene taken at different times is of broad interest due to a large number of applications in sundry areas, including remote sensing, surveillance, medical diagnosis and treatment, civil infrastructure, and underwater sensing. In video surveillance systems very often other than target objects are observed (hereinafter false targets), which are of no importance for the surveillance and disturb the detection of real targeted objects. There are private systems of video surveillance, where it is important to consider the possible appearance of false targets beforehand to ignore them. This article presents the development of general steps for ignoring false targets and the rules of main distinction for the above mentioned private systems of video surveillance.

Identifier:

oai:noad.sci.am:135816

Language:

English

URL:

Additional Information:

simonyan.r2@gmail.com ; dsimonian81@gmail.com

Affiliation:

Institute for Informatics and Automation Problems

Country:

Armenia

Year:

2017

Time period:

September25-29

Conference title:

11th International Conference on Computer Science and Information Technologies CSIT 2017

Place:

Yerevan

Participation type:

oral