Today video surveillance is being widely used

but ultra-wide area surveillance in real-time and low price use is still the restrictions. We proposed a single-camera

online real-time image stitching by support vector machine and phase correlation. For image sequences taken from a single camera rotation

the mosaic matrix has regular characteristic. So first calculate image position using phase correlation and then exact stitching matrix by SIFT operator. Finally using support vector machine establish model. While online process

calculate the stitching matrix to current frame by the offline model using image position. Then use phase correlation method again to achieve an exact match to get real-time image stitching. Based on DM6446 embedded platform test the reliability of the algorithm

the algorithm can complete image mosaic stability within 0.1 second of sampling time. It shows a high stablily and operating rate compare to traditional method based on feature matching

and the sharpness still viable to monitoring requirements. We proposed a new image stitching method which calculate stitching matrix by image position to be a fast panoramic image. The experiment result tells it has a good balance both to stability and image sharpness while in dynamic complex environment.