【摘 要】
：
前景/背景分割算法是计算机视觉中一种常见的算法。其基本思想是利用背景中不同像素或帧与帧之间的相关性,判断每个像素点的灰度值,然后根据预测值和实际观察值判断当前像素属于前景还是背景。首先介绍了几种应用在不同场合的前景/背景分割算法。考虑到应用传统的基于处理器的平台很难实时实现这类计算量很大的算法,所以在该算法的有效性被确认后,重点介绍其嵌入式实时实现。同时引入了一种先进的实现算法的方法:可重构计算及
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前景/背景分割算法是计算机视觉中一种常见的算法。其基本思想是利用背景中不同像素或帧与帧之间的相关性,判断每个像素点的灰度值,然后根据预测值和实际观察值判断当前像素属于前景还是背景。首先介绍了几种应用在不同场合的前景/背景分割算法。考虑到应用传统的基于处理器的平台很难实时实现这类计算量很大的算法,所以在该算法的有效性被确认后,重点介绍其嵌入式实时实现。同时引入了一种先进的实现算法的方法:可重构计算及其设计方法和流程。另外还讨论了几个重要的关于硬件实现算法的问题。在给出了如何应用可重构计算实现算法的实例
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