所属单位：信息与控制工程学院

发表刊物：Applied Mechanics and Materials

关键字：中文关键字：目标提取；卡尔曼滤波；背景建模；光流约束，英文关键字：target extracting; Kalman filter; background model

摘要：Owing to the problems of inter frame difference method cannot extract the entire target and most optical flow algorithms with computational time, poor real-time performance, a local optical flow constraint target extracting algorithm of Kalman filter based on background modeling is proposed. Firstly use Kalman filter method based on background modeling predict and update the background, then make Lucas-Kanade local optical flow algorithm search the background changing region, finally determine the gray contour, extract target. Compared with the classical algorithms, the simulation results show that new algorithm can extract the moving object quickly and accurately, and has better robustness to the environment changes and target circuitous movement.

备注：王燕妮

第一作者：王燕妮

论文类型：期刊论文

卷号：卷：596

期号：期：

页面范围：页：316-321

是否译文：否

发表时间：2014-05-01