东北师大学报(自然科学版)
東北師大學報(自然科學版)
동북사대학보(자연과학판)
JOURNAL OF NORTHEAST NORMAL UNIVERSITY(NATURAL SCIENCE EDITION)
2010年
1期
41-46
,共6页
孙红光%张瑾%潘毓学%卜倩%李欢利
孫紅光%張瑾%潘毓學%蔔倩%李歡利
손홍광%장근%반육학%복천%리환리
粒子滤波%双正交小波%贝叶斯滤波%卡尔曼滤波
粒子濾波%雙正交小波%貝葉斯濾波%卡爾曼濾波
입자려파%쌍정교소파%패협사려파%잡이만려파
particle filter%biorthogonal wavelet%Bayesian filter%Kalman filter
对粒子滤波理论及其实现方法进行了研究.通过模拟实验验证了其优于卡尔曼跟踪的性能,并结合基于双正交小波的边缘形心提取方法和粒子滤波跟踪方法,构建了其跟踪框架.通过粒子数和系统状态转移方程的恰当选择,实现了云层背景下对背景简单的点目标和存在遮挡和旋转变化情况下的大目标进行跟踪.最后通过实验分析了粒子数目和状态方程的选取对跟踪精度的影响.实验证明,结合鲁棒性的小波检测方法和具有"多峰"描述的粒子滤波算法构造成的跟踪器,在运动目标存在局部遮挡和旋转变化等情况下能够实现稳定的目标跟踪.
對粒子濾波理論及其實現方法進行瞭研究.通過模擬實驗驗證瞭其優于卡爾曼跟蹤的性能,併結閤基于雙正交小波的邊緣形心提取方法和粒子濾波跟蹤方法,構建瞭其跟蹤框架.通過粒子數和繫統狀態轉移方程的恰噹選擇,實現瞭雲層揹景下對揹景簡單的點目標和存在遮擋和鏇轉變化情況下的大目標進行跟蹤.最後通過實驗分析瞭粒子數目和狀態方程的選取對跟蹤精度的影響.實驗證明,結閤魯棒性的小波檢測方法和具有"多峰"描述的粒子濾波算法構造成的跟蹤器,在運動目標存在跼部遮擋和鏇轉變化等情況下能夠實現穩定的目標跟蹤.
대입자려파이론급기실현방법진행료연구.통과모의실험험증료기우우잡이만근종적성능,병결합기우쌍정교소파적변연형심제취방법화입자려파근종방법,구건료기근종광가.통과입자수화계통상태전이방정적흡당선택,실현료운층배경하대배경간단적점목표화존재차당화선전변화정황하적대목표진행근종.최후통과실험분석료입자수목화상태방정적선취대근종정도적영향.실험증명,결합로봉성적소파검측방법화구유"다봉"묘술적입자려파산법구조성적근종기,재운동목표존재국부차당화선전변화등정황하능구실현은정적목표근종.
Particle filter realize recursive Bayesian filter via Monte Carlo simulation. The method is suitable for any mon-linear system that could be represented with state model. The theory and method of particle filter are studied in the paper, through simulate experiment validate its capability excel to kalman tracking. A method of biorthogonal wavelet edge extraction combining particle filter is presented, and making up its frame of tracking. Through selecting state equation of system and particle number, which realize dot target in simple background and target in shelter complicated tracking used algorithm. At last the problems have analyzed whether the number of particles and state equation affects the tracking accuracy. Experiment validate, the tracker with combining robust wavelet inspect method and having many apex descriptive particle filter algorithm, which can realize steady target tracking in moving target exist local shelter.