西安电子科技大学学报(自然科学版)
西安電子科技大學學報(自然科學版)
서안전자과기대학학보(자연과학판)
JOURNAL OF XIDIAN UNIVERSITY(NATURAL SCIENCE)
2015年
2期
162-166,205
,共6页
黄宏图%葛渊%张继%查宇飞%毕笃彦%侯志强
黃宏圖%葛淵%張繼%查宇飛%畢篤彥%侯誌彊
황굉도%갈연%장계%사우비%필독언%후지강
视频跟踪%仿射变换%尺度变化%目标旋转%压缩感知
視頻跟蹤%倣射變換%呎度變化%目標鏇轉%壓縮感知
시빈근종%방사변환%척도변화%목표선전%압축감지
visual tracking%affine transform%scale variation%obj ect rotation%compressed sensing
针对跟踪中目标尺度变化和旋转问题,将仿射变换和应用到压缩感知跟踪中。首先,以上一帧的跟踪结果为均值,以一定的标准差按照高斯分布,随机生成不同尺度和旋转角度的候选框;然后,通过仿射变换将其转换至直角坐标系中,通过多尺度滤波得到目标在不同尺度下的高维特征向量,采用压缩矩阵将高维特征向量降维至低维空间;最后,将低维特征向量通过贝叶斯分类器选取具有最大响应的候选位置作为目标的跟踪位置。在此基础上分别提取正负样本来更新分类器参数,从而实现持续稳定的跟踪。实验结果表明,该算法能够较好地解决压缩感知跟踪中的目标旋转和尺度变化问题。
針對跟蹤中目標呎度變化和鏇轉問題,將倣射變換和應用到壓縮感知跟蹤中。首先,以上一幀的跟蹤結果為均值,以一定的標準差按照高斯分佈,隨機生成不同呎度和鏇轉角度的候選框;然後,通過倣射變換將其轉換至直角坐標繫中,通過多呎度濾波得到目標在不同呎度下的高維特徵嚮量,採用壓縮矩陣將高維特徵嚮量降維至低維空間;最後,將低維特徵嚮量通過貝葉斯分類器選取具有最大響應的候選位置作為目標的跟蹤位置。在此基礎上分彆提取正負樣本來更新分類器參數,從而實現持續穩定的跟蹤。實驗結果錶明,該算法能夠較好地解決壓縮感知跟蹤中的目標鏇轉和呎度變化問題。
침대근종중목표척도변화화선전문제,장방사변환화응용도압축감지근종중。수선,이상일정적근종결과위균치,이일정적표준차안조고사분포,수궤생성불동척도화선전각도적후선광;연후,통과방사변환장기전환지직각좌표계중,통과다척도려파득도목표재불동척도하적고유특정향량,채용압축구진장고유특정향량강유지저유공간;최후,장저유특정향량통과패협사분류기선취구유최대향응적후선위치작위목표적근종위치。재차기출상분별제취정부양본래경신분류기삼수,종이실현지속은정적근종。실험결과표명,해산법능구교호지해결압축감지근종중적목표선전화척도변화문제。
The affine transform is employed to solve the scale change and rotation in in compressed sensing tracking.Firstly according to the Gauss distribution of a certain variance,a number of candidates are produced based on the former tracking result.Then the patch is transformed into the orthogonal coordinate via affine transformation.And the high-dimension feature vector is acquired through the multiple-scale filter.The high-dimension feature vector is compressed through the compressive matrix.Finally,the low-dimension feature vector is passed through the bayes classifier and the candidate with the highest response is recognized as the tracking result,on the basis of which the positive and negative samples are extracted to update the parameters of the naive bayes classifier.Experimental results show that the proposed algorithm can well cope with the scale variation and rotation in compressed visual tracking.