An intelligent disaster warning surveillance system based on video contents analysis

This paper presents an intuitive and effective method for automatic disaster detection in the early stage by real time video contents analysis. Via analyzing the specific feature vectors including spatial-temporal spectra variation, color/grayscale histogram variation, etc., a fully automatic detection process is developed to substantially extend the capability of the existing video surveillance systems, and to reduce the loss caused by these disaster events. The experimental results show that the proposed algorithm not only has the better performance but also avoids the extra cost than the previous systems. Moreover, the research work also meets the future trend in the related security industry products.