Forest smoke detection in video images based on constant speed rotating platform

Bo Lei; Zhijie Zhang; Song Yue; Chensheng Wang

doi:10.1117/12.2035026

21 August 2013 Forest smoke detection in video images based on constant speed rotating platform

Bo Lei, Zhijie Zhang, Song Yue, Chensheng Wang

Proceedings Volume 8908, International Symposium on Photoelectronic Detection and Imaging 2013: Imaging Sensors and Applications; 89082K (2013) https://doi.org/10.1117/12.2035026
Event: ISPDI 2013 - Fifth International Symposium on Photoelectronic Detection and Imaging, 2013, Beijing, China

Abstract

This paper proposed a smoke detection method suitable for constant speed rotating platform. The movements of long range scenes in images acquired by camera on rotating surveillance platform is approximate translation, the proposed method uses a grid point based image patch matching to obtain the parameters of the translation, and compensates the movements of scenes to generate short-time stable scenes for smoke detection. After the movement compensation of the video, the smoke candidate regions are selected by two-stage background difference, color judgment and shadow judgment. The two-stage background difference which takes advantage of fast background updating and slow background updating is performed to detect slowly changing regions. The color judgment is applied to filter out non-smoke color regions, for smoke always takes on gray colors. And the shadow judgment is to carry out by the light color feature and the no texture changing feature of shadows. An image buffer pool is established for smoke diffusion analysis where forward region trajectories and corresponding backward region trajectories are obtained. Those regions’ moving trajectories are obtained by a consecutive frame region matching method based on their corresponding position distance and are filtered by a consistency constraint, after which, the translation, expanding, shrinking features of remaining smoke candidate regions are attained, which are used for movements and diffusion judgments. The smoke candidate regions passing all of above judgments are considered smoke regions. Experimental results show the proposed method is prominent for forest smoke detection.

Citation Download Citation

Bo Lei, Zhijie Zhang, Song Yue, and Chensheng Wang "Forest smoke detection in video images based on constant speed rotating platform", Proc. SPIE 8908, International Symposium on Photoelectronic Detection and Imaging 2013: Imaging Sensors and Applications, 89082K (21 August 2013); https://doi.org/10.1117/12.2035026

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