舰船电子工程
艦船電子工程
함선전자공정
Ship Electronic Engineering
2015年
10期
51-54
,共4页
陈金令%冯胜%李娜%崔宝明%罗文%卜晓东
陳金令%馮勝%李娜%崔寶明%囉文%蔔曉東
진금령%풍성%리나%최보명%라문%복효동
图像处理%目标跟踪%模板匹配%角点匹配%卡尔曼滤波
圖像處理%目標跟蹤%模闆匹配%角點匹配%卡爾曼濾波
도상처리%목표근종%모판필배%각점필배%잡이만려파
image processing%target tracking%template matching%corner matching%Kalman filter
为解决目标遮挡、旋转、形变等引起的目标跟踪丢失问题,提出了一种多模式融合的跟踪算法。算法综合运用模板匹配、SUSAN 角点匹配和卡尔曼滤波等三种模式:模板匹配跟踪算法应用于背景复杂、目标未发生遮挡的情况,特征点匹配则在目标部分遮挡时进行跟踪,而 Kalman 滤波则用于预测目标位置,减少匹配算法的运算量,并在目标短暂丢失的情况下继续跟踪。实验对多模跟踪算法与模板匹配算法进行了比较,证明该算法可以稳定地进行目标跟踪,在目标被遮挡时也可以有效跟踪目标。
為解決目標遮擋、鏇轉、形變等引起的目標跟蹤丟失問題,提齣瞭一種多模式融閤的跟蹤算法。算法綜閤運用模闆匹配、SUSAN 角點匹配和卡爾曼濾波等三種模式:模闆匹配跟蹤算法應用于揹景複雜、目標未髮生遮擋的情況,特徵點匹配則在目標部分遮擋時進行跟蹤,而 Kalman 濾波則用于預測目標位置,減少匹配算法的運算量,併在目標短暫丟失的情況下繼續跟蹤。實驗對多模跟蹤算法與模闆匹配算法進行瞭比較,證明該算法可以穩定地進行目標跟蹤,在目標被遮擋時也可以有效跟蹤目標。
위해결목표차당、선전、형변등인기적목표근종주실문제,제출료일충다모식융합적근종산법。산법종합운용모판필배、SUSAN 각점필배화잡이만려파등삼충모식:모판필배근종산법응용우배경복잡、목표미발생차당적정황,특정점필배칙재목표부분차당시진행근종,이 Kalman 려파칙용우예측목표위치,감소필배산법적운산량,병재목표단잠주실적정황하계속근종。실험대다모근종산법여모판필배산법진행료비교,증명해산법가이은정지진행목표근종,재목표피차당시야가이유효근종목표。
A multimode tracking algorithm is designed in order to solve the problems of target's occlusion ,deformation and rotation .Template matching algorithm ,SUSAN corner matching algorithm and Kalman filter algorithm are integrated . Template matching algorithm is used in complex background where the target is not submerged .When part of the target ap‐pears in the background ,SUSAN corner matching algorithm is selected .The target state in the next frame can be predicted using Kalman filter which can reduce the search area of the target detection and resolve the target losing problem .The exper‐imental results indicate that the algorithm is much better than the Template matching method obviously ,and the target is tracked stably and real‐time .The target also can be tracked efficaciously ,when it is occluded .