Research On The Method Of Burning Point Localization Based On Machine Vision

In recent years, as technology advances and the development of embedded image processing system, image-based fire detection is expected to be an important means of fire detection in large factories, warehouses, forests and other large open and outdoor space. The research based on burning point auto-localization of machine vision, and can give a support for the early detection of fire or automatic fire-fighting, and has an important application value.The paper is based on the locating technology of machine vision, Systematically discussed the key issues such as the image pre-processing techniques, camera model, camera calibration, epipolar calibration, stereo matching, three-dimensional reconstruction, and on this basis, proposed the method of burning point localization such as Two-dimensional localization based on Monocular Camera and Binocular stereo vision localization. And we use Intel's open source computer vision library OpenCV as a locating system development tools to achieve burning point locating system in Visual C++development platform. Through experiments it proved that the system can be applied to fire automation system with high stability, strong adaptability and good locating accuracy.