结合时域差分和空域分级的实时运动人像跟踪  

Real-time moving human track algorithm based on time differential and spatial gradation

作　　者：郑红[1] 金晶[1] 

机构地区：[1]上海交通大学计算机科学与工程系,上海200240

出　　处：《计算机工程与应用》2009年第12期202-204,共3页Computer Engineering and Applications

基　　金：上海市科学技术委员会科研计划项目(No.05DZ05837)

摘　　要：利用摄像头对运动人像目标进行自动跟踪在越来越多的领域成为客观需要,国内外目前也已经有不少对运动目标自动跟踪的方法和系统。但是,这些方法和系统在运动物体距离较远时不能较好辨识目标,外界环境对于系统的性能也存在较大的影响。针对以上不足,将时域差分和空域分级结合,提出了一种实时的运动人像跟踪算法,使其不仅能够实现实时地跟踪运动人像目标,自动进行变焦,而且对外界环境有较好的适应性。More and more applications nowadays need to use cameras to track moving objects automatically and more and more systems and methods have been developed to do motion track.However,one common fault of these systems and methods is that they fail to recognize moving objects when these objects are far away and environment affects their performance greatly.To address these issues,this article combines time differential and spatial gradation to develop an innovative motion track algorithm.The algorithm is not only capable of real-time tracking of human targets and automatic focusing,but it can also adapt to environment fairly well.

关 键 词：运动目标跟踪 时域差分 空域分级 

分 类 号：TP39[自动化与计算机技术—计算机应用技术]