中文摘要：

传统摄像头在获取大范围复杂场景中的感兴趣目标时，容易出现目标物体丢失或遮挡等问题。为此，提出一种基于全景摄像头的柱面展开及运动目标实时跟踪算法。通过改进的柱面展开算法对360。摄像头获取的全景图像进行还原展开，解决全景图像中的成像扭曲问题。利用CamShift和Kalman预测相结合的算法跟踪运动目标。实验结果表明，在运动目标存在遮挡、短暂消失或同色物体干扰的情况下，该方法能实现对全景范围复杂环境中运动目标实时鲁棒的跟踪。

英文摘要：

Aiming at the problem .that the interested target is disappeared o% ~cc]!4ded cosily in large range of complex scenes by using the traditional camera, a cylinder unwrapping and real-time target tracking method based oa. panoTamic camera is proposed. In this paper, an improved unwrapping algorithm is adopted to transform the p an..q.r01~.!c image （rQrfl 9,1~ni-c]i.rectional image. This algorithm, effectively solves the distortion problem of panoramic image, and then CamShi~ cgmbing with Ka.lm~ln filter algorithm is used to track the moving target. Experimental results demonstrate that the proposed algorithr~_ ~-ealjzes ~ re,]-＇time .and robustness target tracking under large-scale and complex scenes, which contains moving target occluded temporary disappearance or in~erfererlce l~om objects ＇with same color.