A fast color tracking system with automatic exposure control
A fast color tracking system with automatic exposure control
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DOI：
10.1109/icinfa.2013.6720495
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发表时间：
2013-08
期刊：
影响因子：
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通讯作者：
Qingyi Gu;A. Noman;T. Aoyama;T. Takaki;I. Ishii
中科院分区：
文献类型：
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作者：
Qingyi Gu;A. Noman;T. Aoyama;T. Takaki;I. Ishii
在本文中，我们提出了一个高帧率（HFR）的彩色目标跟踪系统，可以自动控制其曝光时间，通过执行基于亮度直方图的图像处理在真实的时间在高帧率。我们的目标是即使在动态变化的照明下也能跟踪高速彩色物体，例如以100 Hz闪烁的灯，对应于50 / 60 Hz的AC电源。该视觉系统在基于FPGA的高速视觉平台上以并行硬件逻辑实现了亮度直方图计算电路模块，可以同时计算分辨率为512 × 512 px、每秒2000帧的8位彩色图像的256箱亮度直方图。在HFR亮度直方图计算的基础上，利用所提出的AE算法实现了2000 fps下512 × 512图像的自动曝光（AE）控制，该算法可以最大化亮度直方图有效范围内的像素数，从而排除更暗和更亮的像素，以改善所捕获图像的动态范围而不会过度曝光和曝光不足。我们提出的HFR系统与AE控制的有效性进行了实验评估的静态场景和移动物体在非均匀照明环境。
In this paper, we present a high frame rate (HFR) color object tracking system that can automatically control its exposure time by executing brightness histogram-based image processing in real time at a high frame rate. Our aim is to track high-speed color objects even under dynamically changing illumination, such as lamps flickering at 100 Hz, corresponding to an AC power supply at 50 / 60 Hz. Our vision system, which is implemented as a brightness histogram calculation circuit module in parallel hardware logic on an FPGA-based high-speed vision platform, can simultaneously calculate a 256-bin brightness histogram for an 8-bit color image with resolution 512 × 512 px at 2000 fps. On the basis of the HFR brightness histogram calculation, our proposed method realizes automatic exposure (AE) control of 512 × 512 images at 2000 fps using our proposed AE algorithm, which can maximize the number of pixels in the effective range of the brightness histogram, thus excluding pixels that are much darker and much brighter, to improve the dynamic range of the captured image without over- and under-exposure. The effectiveness of our proposed HFR system with AE control is evaluated experimentally for a static scene and for moving objects in a nonuniform illumination environment.