Notice of Violation of IEEE Publication Principles: Review of wildfire smoke detection techniques based on visible spectrum video analysis

Notice of Violation of IEEE Publication Principles

"Review of Wildfire Smoke Detection Techniques Based on Visible Spectrum Video Analysis"
by Toni Jakovcevic, Maja Nraovic, Darko Stipanicev, Damir Krstinic
in the Proceedings of the 7th International symposium on Image and Signal Processing and Analysis (ISPA 2011), September 2011, pp. 480–484

After careful and considered review of the content and authorship of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE's Publication Principles.

This paper contains an uncredited table (Table I) from the paper cited below. The table was copied without attribution (including appropriate references to the original author(s) and/or paper title) and without permission.

"A Vision-based Monitoring System for Very Early Automatic Detection of Forest Fires"
by J. Fernandez-Berni, R. Carmona-Galan, L. Carranza-Gonzalez
in Modeling, Monitoring and Management of Forest Fires, 2008, WIT Press, pp. 161 – 170


Wildfires represent a constant threat to ecological systems, infrastructure and human lives. Since they can do so much damage and have devastating consequences, great efforts have been put into the development of systems for their early detection, because fast and appropriate intervention is of primarily importance for wildfire damage minimization. A traditional method for early wildfire detection is human based wildfire surveillance, but the modern technologies based on ICT become more and more important. In the last 20 years various wildfire detection systems has been proposed but from the practical point of view the most important are terrestrial video based wildfire detection systems. A focus of this paper is to present and evaluate different techniques for wildfire smoke detection based on visible spectrum video analysis.