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Optical flow estimation for flame detection in videos.

Martin Mueller¹, Peter Karasev, Ivan Kolesov

¹Department of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA. martin.mueller@gatech.edu

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society

|April 25, 2013

Summary

This summary is machine-generated.

This study introduces novel motion features for flame detection using specialized optical flow methods. These features effectively differentiate fire's turbulent motion from other objects in surveillance systems.

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Area of Science:

Computer Vision
Artificial Intelligence
Fire Safety Engineering

Background:

Ubiquitous camera surveillance systems necessitate advanced flame detection.
Existing methods using color, shape, and texture have limitations.
Classical optical flow methods fail to capture fire's unique motion characteristics.

Purpose of the Study:

To propose and evaluate novel motion features for vision-based flame detection.
To address limitations of traditional optical flow methods for fire analysis.
To differentiate turbulent fire motion from rigid object motion.

Main Methods:

Development of two specialized optical flow methods: optimal mass transport for dynamic textures and a data-driven scheme for saturated flames.
Computation of characteristic features from flow magnitudes and directions.
Testing on a large video database and simulated fire environments.

Main Results:

Proposed motion features demonstrate practical usefulness in discriminating fire from non-fire motion.
Novel simulation-based evaluation method allows analysis of parameters like flame saturation and frame rate.
Effective modeling of fire's non-smooth and non-constant motion characteristics.

Conclusions:

Motion features derived from specialized optical flow offer a robust approach to flame detection.
The proposed methods enhance the accuracy and reliability of automated fire surveillance.
Further research can explore parameter influences in controlled fire simulations.