Embedded Vision System for Atmospheric Turbulence Mitigation
Embedded Vision System for Atmospheric Turbulence Mitigation
复制标题
用于缓解大气湍流的嵌入式视觉系统
DOI：
10.1109/cvprw.2016.112
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发表时间：
2016
期刊：
影响因子：
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通讯作者：
K. Vijayasagar
中科院分区：
文献类型：
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作者：
Ajinkya Deshmukh;G. Bhosale;S. Medasani;K. Reddy;P. H. Kumar;A. Chandrasekhar;P. K. Kumar;K. Vijayasagar
涉及远场操作的户外监视系统经常会遇到大气湍流扰动，这是由于一系列随机反射和折射影响进入的光线。由此产生的扭曲使得很难区分真正的运动物体和湍流引起的运动。现有的算法不能有效地检测场景中的真实运动目标，而且还依赖于计算复杂的扭曲方法。在本文中，我们描述了一种与传统摄像机相连接的实时嵌入式解决方案，既可以纠正湍流失真，又可以可靠地检测和跟踪真实的运动目标。与其他方法的比较表明，湍流校正效果更好，误检和漏检更少。基于FPGADSP的嵌入式算法实现与四核PC实现相比，速度提高了近15倍，同时对内存的需求更小。该系统适用于持久化监视系统和光学瞄准装置。
Outdoor surveillance systems that involve farfield operations often encounter atmospheric turbulence perturbations due to a series of randomized reflections and refraction effecting incoming light rays. The resulting distortions make it hard to discriminate between true moving objects and turbulence induced motion. Current algorithms are not effective in detecting true moving objects in the scene and also rely on computationally complex warping methods. In this paper, we describe a real time embedded solution connected with traditional cameras to both rectify turbulence distortions and reliably detect and track true moving targets. Our comparisons with other methods shows better turbulence rectification with less false and miss detections. FPGADSP based embedded realization of our algorithm achieves nearly 15x speed-up along with lesser memory requirement over a quad core PC implementation. The proposed system is suitable for persistence surveillance systems and optical sight devices.