微型机与应用2011，Vol.30Issue(20)：50-53,4.
基于均值漂移聚类的运动目标检测
Moving object detection based on Mean Shift clustering
牛强强 1陈松 1马晋飞 2魏建猛1
作者信息
- 1. 重庆交通大学信息科学与工程学院,重庆400074
- 2. 重庆大学计算机学院,重庆400044
- 折叠
摘要
Abstract
In order to reduce the impact of noise on moving target detection effectively. This paper presents a Mean Shift clustering method to detect the moving target. Firstly, noise in three consecutive frames image is removed by using the Mean Shift algorithm, tThen, image edge extraction is done, and the three-frame-differencing method is used for the three consecutive frames image to get the moving object. Experimental resuhs show that this method can restrain the noise and extract the moving target effectively.关键词
运动目标检测/均值漂移/三帧差分/聚类Key words
moving object detection/Mean Shift/three-frame-differencing/clustering分类
信息技术与安全科学引用本文复制引用
牛强强,陈松,马晋飞,魏建猛..基于均值漂移聚类的运动目标检测[J].微型机与应用,2011,30(20):50-53,4.
