基于多算法融合的运动目标定位研究  

Research of Moving Object Localization Based on Multi Fusion Algorithm

作　　者：孙一南 韩晓明[1] 

机构地区：[1]太原理工大学信息工程学院,山西太原034402

出　　处：《微电子学与计算机》2017年第8期123-127,132,共6页Microelectronics & Computer

基　　金：国家自然科学基金(61450011);山西省自然科学基金(2015011052)

摘　　要：在固定摄像头的情况下,背景消减法是用来提取视频中运动目标的最有效方法之一,提出了一种多算法融合的背景消减法.该算法通过充分融合发挥RGB彩色模型的颜色特征、码本法的抗扰动性和三帧帧差法与Surendra法的快速性,提出了一种新的背景建模算法以及消减方式,使得在尽可能降低计算量的同时成功提高了算法对闪烁背景的耐受性,并解决了复杂背景条件下运动目标出现缺损与空洞的问题.In the case of a fixed camera, background subtraction method is one of the most effective method to extract moving objects in video, so here proposes a multi fusion background subtraction algorithm. By exerting the color characteristics of RGB color model, anti disturbance of codebook method, and rapidity of three frame difference method and Surendra method fully, a new background modeling algorithm and its reduction method are proposed, which reduces the calculation quantity, improves the tolerance of twinkling background, and solves the problem of defect and cavity of moving object in complex background successfully.

关 键 词：背景建模 背景消减 RGB彩色模型 码本法 三帧帧差法 Surendra法 融合算法 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]