电子与信息学报
電子與信息學報
전자여신식학보
JOURNAL OF ELECTRONICS & INFORMATION TECHNOLOGY
2010年
2期
411-415
,共5页
李远征%卢朝阳%高全学%李静
李遠徵%盧朝暘%高全學%李靜
리원정%로조양%고전학%리정
目标跟踪%多特征融合%粒子滤波%均值迁移%局部二值模式
目標跟蹤%多特徵融閤%粒子濾波%均值遷移%跼部二值模式
목표근종%다특정융합%입자려파%균치천이%국부이치모식
Object tracking%Multi-feature fusion%Particle filter%Mean shift%Local Binary Pattern(LBP)
仅用单一的颜色特征进行跟踪是大多数跟踪算法鲁棒性不高的主要原因.针对此问题,该文提出一种多特征融合跟踪算法.该算法利用颜色和纹理特征表示目标,通过均值迁移和粒子滤波算法进行特征融合,有效地避免了单一颜色特征在光照变化和背景相似情况下的不稳定问题.将两种常用的融合策略结合,减轻了粒子的退化现象,提高了算法效率.实验结果表明该算法提取的目标特征具有较强的鲁棒性,能实现复杂场景下的目标跟踪.
僅用單一的顏色特徵進行跟蹤是大多數跟蹤算法魯棒性不高的主要原因.針對此問題,該文提齣一種多特徵融閤跟蹤算法.該算法利用顏色和紋理特徵錶示目標,通過均值遷移和粒子濾波算法進行特徵融閤,有效地避免瞭單一顏色特徵在光照變化和揹景相似情況下的不穩定問題.將兩種常用的融閤策略結閤,減輕瞭粒子的退化現象,提高瞭算法效率.實驗結果錶明該算法提取的目標特徵具有較彊的魯棒性,能實現複雜場景下的目標跟蹤.
부용단일적안색특정진행근종시대다수근종산법로봉성불고적주요원인.침대차문제,해문제출일충다특정융합근종산법.해산법이용안색화문리특정표시목표,통과균치천이화입자려파산법진행특정융합,유효지피면료단일안색특정재광조변화화배경상사정황하적불은정문제.장량충상용적융합책략결합,감경료입자적퇴화현상,제고료산법효솔.실험결과표명해산법제취적목표특정구유교강적로봉성,능실현복잡장경하적목표근종.
Object tracking by using single color feature results in a poor performance in robustness. To solve this problem, an object tracking method based on multi-features fusion is presented. The proposed method uses the color and texture features extracted by Local Binary Pattern(LBP) to present the interested target, performs a feature fusion in mean-shift and particle filter algorithms, and efficiently avoids the unstable problems via using single color feature for representation. The two common used fusion rules are used,thus overcoming the degeneracy problem and resulting in low computational cost. Experimental results indicate the proposed method is more robust to present object and has good performance in complex scene.