基于机器视觉的运动目标检测技术分析

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1、-硕士学位论文ChapterFiveBasedontraditionalMeanShifttrackingalgorithms,andwellintegratedwiththeaboveelite-family-optimization-basedPCNNmovingobjectdetectionalgorithm,oneexperimentalactivityfortrackingmovingobjectsinrealtimeiscarriedout.Astheexperimentalresultshaveshown,thesaid

2、softwareandhardwareplatformsandalgorithmsinthisarticlecaneffectivelyidentifyandtrackmovingobjects.Keywords:Embeddedsystem,Motiondetection,PCNN,Meanshift----III万方数据----基于机器视觉的运动目标检测技术研究插图索引图1.1侦查机器人.........................................................................

3、........................2图1.2―机遇号‖火星车...........................................................................................2图2.1系统功能图..................................................................................................9图2.2系统供电电路.......................

4、......................................................................10图2.3JTAG接口原理图......................................................................................10图2.4OV7725摄像模块...................................................................................

5、..11图2.5OV7725时序图.........................................................................................11图2.6RGB565像素数据输出时序图..................................................................12图2.7uln2003步进电机驱动原理图.......................................................

6、............14图2.8硬件控制平台实物图................................................................................14图2.9机械传动原理图........................................................................................15图2.10机械传动平台实物图..............................................

7、................................16图3.1不同模板均值滤波图像对比....................................................................18图3.2不同模板均值滤波图像的直方图.............................................................19图3.3均值滤波与中值滤波对比图.....................................................

8、...............20图3.4光流法检测效果图.................................................................................