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EARLY WILDFIRE SMOKE DETECTION BASED ON MOTION-BASED GEOMETRIC IMAGE TRANSFORMATION AND DEEP CONVOLUTIONAL GENERATIVE ADVERSARIAL NETWORKS

Abstract: 

Immediate and accurate detection of wildfire is essentially important in forest monitoring systems
•One of the most harmful hazards in rural areas
•For wildfire detection, the use of visible-range video captured by surveillance cameras are suitable
•They can be deployed and operated in a cost-effective manner
•The challenge is to provide a robust detection system with negligible false positive rates
•If the flames are visible, they can be detected by analyzing the motion and color clues of a video
•Modeling various spatio-temporal features and dynamic texture analysis have been shown to be able to detect fire as well

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Paper Details

Authors:
Suleyman Aslan, Ugur Gudukbay, Behçet Uğur Töreyin, Ahmet Enis Çetin
Submitted On:
10 May 2019 - 10:49pm
Short Link:
Type:
Presentation Slides
Event:
Presenter's Name:
Ahmet Enis Cetin
Paper Code:
SS-L20
Document Year:
2019
Cite

Document Files

sa_wildfire_dcgan.pdf

(136)

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[1] Suleyman Aslan, Ugur Gudukbay, Behçet Uğur Töreyin, Ahmet Enis Çetin, "EARLY WILDFIRE SMOKE DETECTION BASED ON MOTION-BASED GEOMETRIC IMAGE TRANSFORMATION AND DEEP CONVOLUTIONAL GENERATIVE ADVERSARIAL NETWORKS", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4428. Accessed: Sep. 28, 2020.
@article{4428-19,
url = {http://sigport.org/4428},
author = {Suleyman Aslan; Ugur Gudukbay; Behçet Uğur Töreyin; Ahmet Enis Çetin },
publisher = {IEEE SigPort},
title = {EARLY WILDFIRE SMOKE DETECTION BASED ON MOTION-BASED GEOMETRIC IMAGE TRANSFORMATION AND DEEP CONVOLUTIONAL GENERATIVE ADVERSARIAL NETWORKS},
year = {2019} }
TY - EJOUR
T1 - EARLY WILDFIRE SMOKE DETECTION BASED ON MOTION-BASED GEOMETRIC IMAGE TRANSFORMATION AND DEEP CONVOLUTIONAL GENERATIVE ADVERSARIAL NETWORKS
AU - Suleyman Aslan; Ugur Gudukbay; Behçet Uğur Töreyin; Ahmet Enis Çetin
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4428
ER -
Suleyman Aslan, Ugur Gudukbay, Behçet Uğur Töreyin, Ahmet Enis Çetin. (2019). EARLY WILDFIRE SMOKE DETECTION BASED ON MOTION-BASED GEOMETRIC IMAGE TRANSFORMATION AND DEEP CONVOLUTIONAL GENERATIVE ADVERSARIAL NETWORKS. IEEE SigPort. http://sigport.org/4428
Suleyman Aslan, Ugur Gudukbay, Behçet Uğur Töreyin, Ahmet Enis Çetin, 2019. EARLY WILDFIRE SMOKE DETECTION BASED ON MOTION-BASED GEOMETRIC IMAGE TRANSFORMATION AND DEEP CONVOLUTIONAL GENERATIVE ADVERSARIAL NETWORKS. Available at: http://sigport.org/4428.
Suleyman Aslan, Ugur Gudukbay, Behçet Uğur Töreyin, Ahmet Enis Çetin. (2019). "EARLY WILDFIRE SMOKE DETECTION BASED ON MOTION-BASED GEOMETRIC IMAGE TRANSFORMATION AND DEEP CONVOLUTIONAL GENERATIVE ADVERSARIAL NETWORKS." Web.
1. Suleyman Aslan, Ugur Gudukbay, Behçet Uğur Töreyin, Ahmet Enis Çetin. EARLY WILDFIRE SMOKE DETECTION BASED ON MOTION-BASED GEOMETRIC IMAGE TRANSFORMATION AND DEEP CONVOLUTIONAL GENERATIVE ADVERSARIAL NETWORKS [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4428