目的 现今视频监控受到越来越广泛的应用,而在超广角区域监控领域仍然存在实时性、价格费用的限制。为此提出一种采用单摄像头,通过支持向量机与相位相关法相结合的在线实时快速图像拼接。方法 针对单摄像头定点旋转获得的图像序列,其拼接矩阵具有位姿相关的特点,采用相位相关法计算图像位姿信息,采用尺度不变特征变换(SIFT)算子计算对应位姿下的图像拼接矩阵,并使用支持向量机建立离线模型,在线过程中,根据当前帧的位姿信息计算拼接矩阵,再使用相位相关法实现精确匹配,以获取实时拼接图像。结果 采用DM6446嵌入式平台检验算法的可靠性,该算法可稳定地在0.1 s的图像采样时间内完成图像拼接,相较于传统的基于特征匹配方法,大幅提高了运算速度与运算稳定性,且运算结果清晰度符合监控要求。结论 本文图像拼接算法,根据位姿信息实时计算拼接矩阵,以获得可靠快速的全景图像。实验结果表明,该算法在动态复杂环境下依然具有较好的稳定性与图像清晰度。

Objective 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. Method 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. Result 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. Conclusion 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.