Intelligent video analysis-based forest smoke and fire detection method and special system thereof

Abstract

The invention discloses an intelligent video analysis-based forest smoke and fire detection method and a special system thereof. The method includes the following steps: the real-time video images of the current detected scene, which are captured by monitoring cameras in a forest region, are transmitted to a video analysis server via a network; a smoke and fire detection module of the video analysis server detects and splits the moving foreground of the multiple frames of video images to generate a foreground list; according to colors, textures and motion features, the split moving foregrounds are preprocessed, and foreground areas without smoke and fire are filtered; on the basis of an intensive optical flow method, the continuous frames are dynamically analyzed, and dynamic motion features are extracted; and a support vector machine-based classifier classifies the features and outputs a detection result. The method and the special system thereof adopt the multi-video analysis technology to extract the unique features of smoke and fire, reduce false alarms, alarm failure and other circumstances, can analyze the video images of the day-night cameras in all weathers, can automatically detect smoke and naked fire in the daytime, and also can be used for detecting naked fire at night.

Description

technical field [0001] The invention relates to a forest fire identification method, in particular to a forest fire detection method based on intelligent video analysis and a special device thereof. Background technique [0002] At present, forest fire detection technologies mainly include sensor networks, lasers, remote sensing technology, and video detection. Compared with the first three methods, the main advantages of video-based detection methods are low cost and wide coverage. However, the video-based detection method tends to have more false positives, so it needs to be innovated and improved to make it suitable for use. Contents of the invention [0003] Purpose of the invention: Aiming at the deficiencies in the prior art, the purpose of the invention is to provide a forest fire and fire detection method based on intelligent video analysis, so as to improve the accuracy of recognition, reduce interference and meet the needs of use. Another object of the present i...

AI Technical Summary

Problems solved by technology

[0002] At present, forest fire detection technologies mainly include sensor networks, lasers, remote sensing technology, and video detection. Compared with the first three methods, the main advantages of video-based detection methods are low cost and wide coverage. interference, video-based detection methods tend to have more false positives, therefore, they need to be innovated and improved to meet the needs of use

Images