摘要
Bycombininghistogramoforientedgradientandhistogramsofshearletcoefficients,whichanalyzesimagesatmultiplescalesandorientationsbasedonshearlettransforms,asthefeatureset,weproposedanovelhumandetectionfeature.Weemploypartialleastsquaresanalysis,anefficientdimensionalityreductiontechnique,toprojectthefeatureontoamuchlowerdimensionalsubspace.WetestitinINRIApersondatasetbyusingalinearSVM,andityieldsanerrorrateof1.38%withafalsenegatives(FN)rateof0.40%andafalsepositive(FP)rateof0.98%,whiletheerrorrateofHOGis7.11%,withaFNrateof4.09%andaFPrateof3.02%.
出版日期
2012年03月13日(中国期刊网平台首次上网日期,不代表论文的发表时间)