For a long time

forest fire detection is one of the most important research areas all over the world. It is crucial for protecting the earth and human survival. Real-time and accuracy is the essential need in surveillance system

especially in forest fire detection. However

the traditional sensor-based and conventional image-based fire detection approaches can not satisfy the needs. To achieve an effective detection of such fire

an image-based forest fire detection algorithm based on dynamic texture analysis is proposed. The first step is to establish Linear Dynamic System(LDS)model on the video image sequences captured by CCD camera

then analysis the dynamic textures

and finally determine the existence of the fire by Adaboost classifier. Experimental results demonstrate that the rate of accuracy of the proposed algorithm can achieve 95%. It is efficient and robust with good application prospects.