Object

Title: Vision Based Technique for Smoke and Fire Detection inMonitored Forest Terrain

Co-author(s) :

Hovsepyan Samvel

Abstract:

Forest fire and/or smoke detection problem is an urgent task as it harms ecology and decreases the overall life quality. In this paper, we examine the problem of fire/smoke detection using images of different parts of the controlled area of the forest. We propose an approach to solve the problem based on full segmentation, simplification and subsequent isolation of segments with and without fire/smoke. A new approach to transform the colored image components which affect the scene brightness to the final results is applied. The procedures of statistical analysis and data classification method are offered. Efficiency of the proposed procedures is shown.

Identifier:

oai:noad.sci.am:135933

Language:

English

URL:


Additional Information:

dasat@ipia.sci.am ; samvel1207@gmail.com

Affiliation:

Institute for Informatics and Automation Problems ; Russian-Armenian (Slavonic) University

Country:

Armenia

Year:

2015

Time period:

September 28 - October 2

Conference title:

10 th International Conference on Computer Science and Information Technologies CSIT 2015

Place:

Yerevan

Participation type:

oral

Object collections:

Last modified:

Mar 3, 2021

In our library since:

Jul 27, 2020

Number of object content hits:

5

All available object's versions:

https://noad.sci.am/publication/149526

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