感兴趣区域(ROI)检测将人类的视觉注意机制引入到图像分析过程中，对于提高现有图像分析系统的工作效率有着积极的作用。本文对当前静态图像中的ROI检测技术进行了评述。在分析了ROI检测的产生背景之后，首先介绍了人类的视觉注意机制，随之从自底向上和自顶向下两个方面详细讨论了当前较具代表性的ROI检测算法，然后列举了一些主要的ROI应用方向，最后对ROI检测技术的发展前景进行了展望。

The detection of regions of interest (ROI) introduces visual attention mechanism from the human vision to the image analysis. It is significant to improve the efficiency of the existing image analysis system. In this paper, the current technique for detecting ROI in a static image is surveyed. After the background of ROI detection is introduced, the mechanism of visual attention in human visual system is addressed firstly. And then the main algorithms of ROI detection are classified into two categories including bottom up method and top down method. Each of them is discussed in detail respectively. The primary applications of ROI are described afterward. At the end, several research trends of ROI detection are given.