关键词:  模糊聚类, 图像分割, 运动估计, 卡尔曼滤波

Abstract: A kind of technique for detection of multiple moving objects based on fussy clustering and Kalman filtering was brought forward, and has been applied to vehicle detection and tracking. An improved fussy C mean clustering algorithm was used, in which the matrix of grade of membership was modified in order to speed up convergent velocity. Kalman filtering was used to track moving target. Corresponding state equation and plus matrix were constructed based on video sequence to track multiple moving objects at the same time. It can achieve fine object searching with more reliability and efficiency.

Key words: fussy clustering, image segmentation, motion estimation, Kalman filtering