Fire detection using statistical color model in video sequences

By Turgay Çelik, Hasan Demirel, Hüseyin Özkaramanli, Mustafa Kemal Uyguroglu. Journal of Visual Communication and Image Representation, 2007

363 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Safety, Risk, Reliability and Quality

View Paper: https://www.semanticscholar.org/paper/580242703a40addad92572dc1071b3b21bdd6c04

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

1. A. Cetin
2. B. U. Töreyin
3. Kosmas Dimitropoulos

In Electrical and Electronic Engineering

1. A. Cetin
2. B. U. Töreyin
3. Kosmas Dimitropoulos

In Safety, Risk, Reliability and Quality

1. A. Cetin
2. B. U. Töreyin
3. Kosmas Dimitropoulos

Citations in the corpus

• Video fire detection - Review (2013, methodology): “Well-known moving object detection algorithms are background (BG) subtraction methods [16,21,18,14,13,17,20,22,27,28, 30,34], temporal differencing [19], and optical flow analysis [9,8, 29].”