Smoke Detection using Block-based Difference Images and Projections


The KIPS Transactions:PartB , Vol. 14, No. 5, pp. 361-368, Oct. 2007
10.3745/KIPSTB.2007.14.5.361,   PDF Download:

Abstract

In this paper, we propose a smoke detection method which is based on block-wise difference of image frames in video. Our proposed method is composed of three steps which are (a) the detection step of the changed regions against the background, (b) the background update step, and (c) the smoke determination step from the changed regions.We first construct the block mean image of frames in video. And to extract the changed regions against the background, we use a block-wise difference between background's block mean image and a current input frame's block mean image. After applying projections in block-based difference images, we can determine the changed regions as rectangles using projections of difference images. we propose a update scheme of background's block mean image using the projections. We decide the smoke region using the temporal statistics of the central position and YUV color in the changed region.


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Cite this article
[IEEE Style]
D. K. Kim and W. H. Kim, "Smoke Detection using Block-based Difference Images and Projections," The KIPS Transactions:PartB , vol. 14, no. 5, pp. 361-368, 2007. DOI: 10.3745/KIPSTB.2007.14.5.361.

[ACM Style]
Dong Keun Kim and Won Ho Kim. 2007. Smoke Detection using Block-based Difference Images and Projections. The KIPS Transactions:PartB , 14, 5, (2007), 361-368. DOI: 10.3745/KIPSTB.2007.14.5.361.