基于顯著性特征的多視角動作圖像識別研究
引用格式:.基于顯著性特征的多視角動作圖像識別研究[J].現(xiàn)代電子技術,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
在體育領域中,準確捕捉和分析運動員的動作是提升訓練效果、優(yōu)化比賽策略以及評估運動員表現(xiàn)的關鍵環(huán)節(jié)。(剩余5287字)
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- 現(xiàn)代電子技術
- 2025年13期
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