基于顯著性特征的多視角動(dòng)作圖像識(shí)別研究

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引用格式：.基于顯著性特征的多視角動(dòng)作圖像識(shí)別研究[J].現(xiàn)代電子技術(shù)，2025，48（13）：62-65.

Research on multi view action image recognition based on saliency features

HUIXianghui1，SUNYanhong1，SHENXiaole2 （1.Collegeof Informationand ManagementScience，Henan Agricultural UniversityZhengzhou 45Oo46，China; 2.HenanAgricultural University，Zhengzhou 45oo46，China）

Abstract：Amulti viewactionimagerecognitionmethodbasedonsaliencyfeaturesisstudied.Thekeyfeaturesof athlete actionsareautomaticallylearnedandextracted，whichcanhelpcoaches develop morescientificandpersonalized trainingplans forathletes.Thehuman skeletonsequenceisaligned toaunified spatiotemporal coordinate system，and both thedistance map andangle maparecalculated to capture thespatialfeaturesoftheskeleton，soastogenerateahuman motion feature map.A CNN + CA modelisbuilt.Aregionof interest （ROI）splicingdiagram fromtheprocessedmultiviewactionvideo framesis generatedandinputintoCNN，andthenmultiviewfusionfeaturesareextracted.Inaddition，themostcriticalregionforaction imagerecognitionintheCAmoduleishighlighted.Bysequencematchingalgorithm，themultiviewactionrecognitionis transformedintoamatchingofpredictinglabelsequences，andactioncategorylabelsareassignedtotheactionimagestobe recognized，whichachievesaccuratemultiviewactionimagerecognition.Theexperimentalresultsshowthatthemethodcannot onlyeffectivelyproesactioimagesinerentperspeties，utalsoccuratelyecogeuliletiosofsketballplas.

Keywords：salient feature; multi view action image; motion feature map;ROI splicing diagram; CNN; CA module; LSTM; sequence matching algorithm

0 引言

在體育領(lǐng)域中，準(zhǔn)確捕捉和分析運(yùn)動(dòng)員的動(dòng)作是提升訓(xùn)練效果、優(yōu)化比賽策略以及評(píng)估運(yùn)動(dòng)員表現(xiàn)的關(guān)鍵環(huán)節(jié)。（剩余5287字）