A 201.4 GOPS 496 mW Real-Time Multi-Object Recognition Proce(8)

2020-11-29 00:07

A 201.4 GOPS real-time multi-object recognitionprocessor is presented with a three-stage pipelined architecture.Visual perception based multi-object recognition algorithm isapplied to give multiple attentions to multiple objects in the inputimage. For human-like multi-object perception, a neural perceptionengine is proposed with biologically inspired neural networksand fuzzy logic circ

KIMetal.:A201.4GOPS496mWREAL-TIMEMULTI-OBJECTRECOGNITIONPROCESSORWITHBIO-INSPIREDNEURALPERCEPTIONENGINE

39

Fig.9.SIMDprocessorunitanditsdual-issuedVLIWPE.

pathsfordataprocessingoperationssuchasALU,shift,mul-tiply,andmultiply-and-accumulation(MAC),anddatatransferoperationssuchasloadandstore.A51-bitdual-issuedVLIWinstructionenablesparallelexecutionofthedataprocessinganddatatransferoperationforeverycycle.Utilizingitsownreg-ister lewith ve-readandthree-writeports,thePEcanexe-cutecomplexinstructionsforimageprocessingsuchastwo-waymultiply/MAC,three-operandedmin/maxcompare,and32-bitaccumulationinasinglecycle.Theregister lesoftheotherPEscanbedirectlyaccessedforwindowbasedimageprocessing.Inaddition,eachPEcanbeconditionallyexecutedforthesamein-structionusingitsindependentlymanagedstatusregister.C.DecisionProcessor

Theobjectdecisionstageiscomposedofrepeatedvectormatchingprocessesthatsearchthenearestvectorofeachinputdescriptoramongobjectdatabase.Theserepeatedvectormatchingcanbeaperformancebottleneckbecausedistancecalculationsbetweentheinputvectorandeachofthousandsofvectorsindatabaserequirealotofprocessingtime.Intheproposedprocessor,theDPacceleratesthevectormatchingtomaketheobjectdecisionstagetobeoperatedover60frame/secframerateforthedatabaseincludingmorethan15,000vectors.Toreducethesearchregionofdatabasewithoutaccuracyloss,theDPexploitstheH-VQalgorithmpresentedinthepreviousvectormatchingprocessor[12].However,asshowninFig.10,thehardwareisredesignedtoincreasethethroughputofvectormatchingwithtwomodi cations.First,theH-VQalgorithmisperformedwithdedicatedthree-stagepipelineddatapathforvectordistancecalculationandcomparison.Second,thebandwidthofdatabasevectormemoryisincreasedtwice,from256-bitto512-bit.ForthevectormatchingoperationsoftheDP,descriptorvectorsaregatheredinfeaturevectormemoryfromtheSPUsasthe rststep.Then,theH-VQalgorithmisperformedbyacontrollerwiththededicateddatapath.Onceaninputinquiryvectorisset,theDPcanobtaintheindexoftheminimumdistancevectorbyreadingvectorsfromthedatabasememorybecausethedistancecalculationsandminimumvectorupdatesareautomaticallyperformedinpipelineddatapathstages.SincetheDPcanreadtwo256-bitvectorsfromthedatabasememoryinasinglecycle,thethroughputoftheDPistwovectordistancecalculationspercycleat200MHz.Inoverall,theDPmatches256descriptorvectorswitha16384-entrydatabasewithin3Mcycles.


A 201.4 GOPS 496 mW Real-Time Multi-Object Recognition Proce(8).doc 将本文的Word文档下载到电脑 下载失败或者文档不完整,请联系客服人员解决!

下一篇:左传外交辞令特色

相关阅读
本类排行
× 注册会员免费下载(下载后可以自由复制和排版)

马上注册会员

注:下载文档有可能“只有目录或者内容不全”等情况,请下载之前注意辨别,如果您已付费且无法下载或内容有问题,请联系我们协助你处理。
微信: QQ: