计算机工程2017，Vol.43Issue(7)：234-238,5.DOI:10.3969/j.issn.1000-3428.2017.07.039
基于改进混合高斯模型与六帧差分的目标检测算法
Object Detection Algorithm Based on Improved Mixed Gaussian Model and Six-frame Difference
摘要
Abstract
Aiming at the shortcomings such as time consuming,high complexity and sensitivity to noise,illumination and the sudden moving of objects in the traditional mixed Gaussian model algorithm for object detection,an improved moving object detection algorithm is presented in this paper.Based on the mixed Gaussian model and six-frame difference algorithm,the fundamental outline of detecting target is established.The accuracy of the algorithm is improved by using an adaptive selection strategy with the update rate for different regions.By means of the morphological operations,the residual noises are removed and the integrity of the detected target is improved through connectivity test.Then the binarization detection results of moving target with clearer and more complete outline are obtained.Simulation results show that the preposed algorithm not only improves the real-time performance of object detection,but also solves false detection problems caused by the change in object states,the environmental noise and the illumination changing,etc.关键词
运动目标检测/混合高斯模型/六帧差分/自适应选择策略/运动目标二值化Key words
moving object detection/mixed Gaussian model/six-frame difference/adaptive selection strategy/moving object binarization分类
信息技术与安全科学引用本文复制引用
段锁林,严翔,朱方,史兵..基于改进混合高斯模型与六帧差分的目标检测算法[J].计算机工程,2017,43(7):234-238,5.基金项目
江苏省科技支撑计划项目(BEK2013671). （BEK2013671）
