Application of Robust Regression Estimation in Moving Background Compensation
The primary task in preprocessing image is moving estimation and compensation of image senor,that is to say,correction problem of image background.In this paper,a new method of motion background compensation based on robust regression is proposed.The background motion velocity is calculated by the estimation of the optical flow field model.Then robust iterative weighted least square method is used to estimate the global motion parameters of the image sensor.This technique solves the problem of image background correction,improve the performance of detection and tracking algorithm and the motion background is compensated by the estimated global motion parameters.Optical flow field technology is mainly used in tracking algorithm.The experimental results show that the proposed method can meet the real-time requirement of motion background compensation.
robust regression optical flow field correction of image background Image sequence
CAI Qing-yao DING Xi-bo DONG Shan-shan
Higher Educational Key Laboratory for Measuring & Control Technology and Instrumentation of Heilongjiang Province Harbin University of Science and Technology Harbin, China
国际会议
哈尔滨
英文
65-68
2016-07-21（万方平台首次上网日期，不代表论文的发表时间）