The Community for Technology Leaders
RSS Icon
Subscribe
Los Angeles, California USA
Mar. 31, 2009 to Apr. 2, 2009
ISBN: 978-0-7695-3507-4
pp: 759-763
ABSTRACT
In this paper, we propose a method for smoke detection in outdoor video sequences. We assume that the camera is mounted on a pan/tilt device.The proposed method is composed of three steps. The first step is to decide whether the camera is moving or not. While the camera is moving, we skip the ensuing steps. Otherwise, the second step is to detect the areas of change in the current input frame against the background image and to locate regions of interest (ROIs) by connected component analysis. The block-based approach is applied in both the first and second steps. In the final step, we decide whether the detected ROI is smoke by using the k- temporal information of its color and shape extracted from the ROI. We show the experimental results using in the forest surveillance videos.
INDEX TERMS
smoke detection, forest fire, video surveillance
CITATION
DongKeun Kim, Yuan-Fang Wang, "Smoke Detection in Video", CSIE, 2009, Computer Science and Information Engineering, World Congress on, Computer Science and Information Engineering, World Congress on 2009, pp. 759-763, doi:10.1109/CSIE.2009.494
24 ms
(Ver 2.0)

Marketing Automation Platform Marketing Automation Tool