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Realizing Real-Time Centroid Detection of Multiple Objects with Marching Pixels Algorithms

机译:行进像素算法实现多个物体的实时质心检测

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In this paper we present a class of emergent algorithms called Marching Pixels which can be used for real time image processing in smart camera chips. Marching Pixels are based on hardware agents which are virtually crawling in a pixel grid image to find attributes like centroid, rotation and size of an arbitrary number of objects given in an image. Due to the distributed and local processing scheme of MPs reply times in milliseconds can be fulfilled. This means in that time is determined where pre-known objects are located and how they are oriented to the main axes of the image. We present an example Marching Pixels algorithm and corresponding application-specific and programmable architectures designed for the use in embedded systems. The strengths and weaknesses of those architectures concerning the realization as FPGAs and ASICs are discussed by means of hardware synthesis results.
机译:在本文中,我们提出了一种称为行进像素的新兴算法,可用于智能相机芯片中的实时图像处理。行进像素基于硬件代理,它们实际上在像素网格图像中爬行以查找图像中给定的任意数量对象的属性,例如质心,旋转和大小。由于MP的分布式和本地处理方案,因此可以满足毫秒级的答复时间。这意味着在此期间将确定先验对象的位置以及它们如何朝向图像主轴定向。我们提供了一个示例Marching Pixels算法以及为嵌入式系统设计的相应的专用和可编程体系结构。通过硬件综合结果,讨论了与实现为FPGA和ASIC有关的那些架构的优缺点。

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