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Tracking Movement Optically And Cheaply

机译:光学和廉价地跟踪运动

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摘要

Many machine sensors like accelerometers and gyroscopes have fallen in price because of the popularity of smart phones. Low-cost cameras and optical sensors have also benefited from smart phones with camera sensors for photography or video conferencing. Almost a decade ago my daughter built a number of robotic science fair projects with a CMUcam that was developed at Carnegie Mellon University. It used an RGB camera. She turned that information into HSI (hue, saturation, intensity) to more readily track changes in the image. Back then the technology allowed results measured in seconds per frame. I helped turn her Java code into assembler and put it on the CMUcam, replacing CMUs code. The resolution was still low but results were available in tens of frames per second.
机译:由于智能手机的普及,诸如加速度计和陀螺仪之类的许多机器传感器的价格都下降了。低成本相机和光学传感器也受益于带有用于摄影或视频会议的相机传感器的智能手机。大约十年前,我的女儿用卡内基·梅隆大学开发的CMUcam建立了许多机器人科学竞赛项目。它使用了RGB相机。她将这些信息转换为HSI(色相,饱和度,强度),以便更轻松地跟踪图像中的变化。当时的技术允许以每帧秒为单位测量结果。我帮助将她的Java代码转换为汇编器,并将其放在CMUcam上,以取代CMUs代码。分辨率仍然很低,但是每秒可以显示数十帧。

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  • 来源
    《Electronic Design》 |2013年第11期|96-96|共1页
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  • 收录信息 美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
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  • 入库时间 2022-08-18 01:19:02

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