Object extraction from a moving background using velocity estimation and optimal filter in the MixeD

作     者：Wu, SL Shinmura, H Hamada, N 

作者机构：Keio Univ Fac Sci & Technol Yokohama Kanagawa 2238522 Japan 

出 版 物：《IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES》 (电子信息通信学会汇刊：电子学、通信及计算机科学基础)

年 卷 期：2001年第E84A卷第12期

页      面：3082-3089页

核心收录：

学科分类：0808[工学-电气工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

主　　题：linear trajectory signal velocity estimation object extraction optimal filter dynamic image processing 

摘      要：This paper addresses the problem to extract moving object from the moving background in the mixed domain (MixeD), which makes it possible to carry the filtering in one dimension, Since the velocities of moving object and background are necessary for moving object extraction, we first estimate the velocities based on the appropriate spatial frequency point selection method in the MixeD. Then an optimal filter used for 1-D signal filtering is designed. By filtering 1-D signals over all spatial frequencies, signals with certain velocity vector are extracted, while the extracted image is obtained by applying the 2-D IDFT to the filtered signals. The simulation results,;how that the method can extract moving object based both on the correctly estimated velocity and the proposed optimal 1-D filter.