快速搜索任意形状二维目标的质心，一直是模式识别，目标跟踪等领域中的关键问题，通过对矩方法的进一步分析，提出基于目标质心与目标上各点间蹭之和取得最小值这的一特性的质心快速搜索策略。

Fast searching centroids of 2D arbitrary shape is still a key problem in the fields of pattern recognition and object tracking. This paper presents a new fast algorithm by analyzing the moment method, which is based on the character that the sum of distances between centroid and other points is the minimum. The algorithm gets the centroid position just from edge information. The algorithm is robust and can be used in the systems of autonomous robot locating, navigation, tracking and docking.