基于发布订阅结构的计算机视觉跟踪研究  

Computer Vision Tracking Studying Based on Publish/Subscribe Structure

作　　者：刘海洋[1] 刘元安[1] 高锦春[1] 马晓雷[1] 刘春旭[1] 

机构地区：[1]北京邮电大学安全生产智能监控北京市重点实验室,北京100876

出　　处：《计算机学报》2012年第8期1767-1773,共7页Chinese Journal of Computers

基　　金：国家自然基金(61001060);国家科技重大专项基金(2010ZX03007-003-04)资助~~

摘　　要：文中报道了使用发布订阅中间件搭建的一个跟踪系统,通过单摄像头采集图像,经过分析处理,计算出运动物体的相对位置,同时控制摄像头转动,对运动物体进行实时追踪.整个系统主要包括4个方面,以发布/订阅为中心结构连接3个子系统、目标获取、目标跟踪、采集摄像头控制.文中为卡尔曼滤波定义了新的向量,预测目标运动趋势;根据物体的运动信息自行设计了摄像头控制程序.算法有充分的理论依据和实验验证.This paper presents a tracking system using Publish/Subscribe middleware （Pub/ Sub）. The image data is collected by monocular camera, and analyzed to calculate the position of moving object. The real-time tracking of the moving object is performed by controlling the rotation of camera. The entire system is composed mainly of four parts, i.e. Using Pub/Sub to join three subsystems, target acquisition, tracing the moving object and controlling camera. The improvement of this system include （1） Give a definition of a new vector for Kalman filter; （2） Predict moving tendency; （3） Redesign a program for camera controlling according to the vector of moving information. The arithmetic exployed in this paper is reliable and application.

关 键 词：发布订阅 视觉追踪 背景减除 CAMSHIFT 卡尔曼滤波器 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]