桂林电子科技大学学报
桂林電子科技大學學報
계림전자과기대학학보
Journal of Guilin University of Electronic Technology
2015年
4期
305-309
,共5页
温荟然%张红梅%张向利%李鹏飞
溫薈然%張紅梅%張嚮利%李鵬飛
온회연%장홍매%장향리%리붕비
Haar特征%背景信息%稀疏表示%块正交匹配
Haar特徵%揹景信息%稀疏錶示%塊正交匹配
Haar특정%배경신식%희소표시%괴정교필배
Haar feature%background information%sparse representation%block orthogonal match
为了解决目标跟踪忽视背景信息的问题,运用非常稀疏的矩阵对目标与背景样本提取低维 Haar特征,并将候选目标在过完备字典中进行稀疏表示,用块正交匹配追踪的方式对稀疏表示进行求解,通过残差对目标作最大似然估计,提高跟踪效果。实验结果表明,在光照变化、遮挡、复杂背景等情况下,基于稀疏表示的目标跟踪算法具有较高的鲁棒性,且在跟踪速度上有所提升。
為瞭解決目標跟蹤忽視揹景信息的問題,運用非常稀疏的矩陣對目標與揹景樣本提取低維 Haar特徵,併將候選目標在過完備字典中進行稀疏錶示,用塊正交匹配追蹤的方式對稀疏錶示進行求解,通過殘差對目標作最大似然估計,提高跟蹤效果。實驗結果錶明,在光照變化、遮擋、複雜揹景等情況下,基于稀疏錶示的目標跟蹤算法具有較高的魯棒性,且在跟蹤速度上有所提升。
위료해결목표근종홀시배경신식적문제,운용비상희소적구진대목표여배경양본제취저유 Haar특정,병장후선목표재과완비자전중진행희소표시,용괴정교필배추종적방식대희소표시진행구해,통과잔차대목표작최대사연고계,제고근종효과。실험결과표명,재광조변화、차당、복잡배경등정황하,기우희소표시적목표근종산법구유교고적로봉성,차재근종속도상유소제승。
In order to solve the defects of tracking algorithm which ignores the background information,a very sparse matrix is used to get low dimensional Haar feature of target and background,and the candidate target can be sparse representation in the over complete dictionary.Block orthogonal matching pursuit method is used to solve the sparse representation and get residual,then the maximum likelihood estimation is achieved.Experimental results show that the tracking method based on sparse representation still has very high robustness in illumination,occlusion and complex background conditions,and the tracking speed is improved.