投影子空间下人体动作序列预测研究

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DOI：10.16652/j.issn.1004-373x.2025.16.008

中图分类号：TN915.04-34；TP391.4 文献标识码：A 文章编号：1004-373X（2025）16-0045-05

Prediction of human motion sequence in projection subspace

YUEXiaoyu，ZHANGLulu （Nanjing Tech University，Nanjing211816，China）

Abstract：Inordertocomprehensivelyextractmotion features fromdiferentviewinganglesandimprove therobustnessof perspectivechanges，thepredictionmethodof human motionsequence in projectionsubspaceisproposed.Intheprojection subspace，the3DhumanmovementscapturedbyKinectcameraareconvertedinto2Dhumanmovementsequeneswithdiferent anglesof mainview，leftviewandtopview.Inthemulti-neighborhoodglobaladaptivegraphneuralnetwork，theadaptivegraph convolutionisusedastheencodertoextractthe2Dhumanactionsequencefeaturesfromthethreeviewingangles，soasto improvetherobustnessof thenetwork tothechangesof viewingangles.Thegatedrecurentunitbasedonmulti-neigborhod globaladaptivegraphconvolutionisusedasthedecoder，andcombinedwiththehumanmotionsequencecharacteristicsto obtainthehumanmotionsequencepredictionresultsunderdiferentviewingangles.Thefusionmoduleisused tofusethe predictedresultsof actionsequences fromvarious perspectives bymeansofthevoting fusion strategy，soas toobtain the final predictioresults.Theexperimentalresultsshowthattheproposedmethodcanefectivelyconvert 3Dhuman motionandobtain 2D human motionsequence.This method caneffectivelypredict humanactionsequence，andthedeterminationcoeffcientsof action sequence prediction arehigher under diferent viewing angles，thatis，the prediction accuracy is higher.

Keywords：human actionsequence prediction;projectionsubspace；2D action;feature extraction；adaptive graph convolution; gated recurrent unit

0 引言

人体动作序列预测是按照历史人体动作序列数据，对后续动作序列的发展趋势进行预测。（剩余4873字）