使用SCAMP蜂窝处理器阵列的低功耗多目标跟踪和计数

D. Barr, S. Carey, P. Dudek
{"title":"使用SCAMP蜂窝处理器阵列的低功耗多目标跟踪和计数","authors":"D. Barr, S. Carey, P. Dudek","doi":"10.1109/CNNA.2012.6331467","DOIUrl":null,"url":null,"abstract":"A low-power demonstration system using a SCAMP-3 vision chip to track and count multiple objects with unpredictable trajectories is presented. The system can track as many discrete objects that can fit into its visual field. The compact, self-contained hardware consists of a battery, an ARM Cortex-M3 coprocessor, and the sensor/processor array device. The tracking algorithm is performed entirely by the processor array and the complete system draws 7.3mA during operation.","PeriodicalId":387536,"journal":{"name":"2012 13th International Workshop on Cellular Nanoscale Networks and their Applications","volume":"148 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Low power multiple object tracking and counting using a SCAMP cellular processor array\",\"authors\":\"D. Barr, S. Carey, P. Dudek\",\"doi\":\"10.1109/CNNA.2012.6331467\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A low-power demonstration system using a SCAMP-3 vision chip to track and count multiple objects with unpredictable trajectories is presented. The system can track as many discrete objects that can fit into its visual field. The compact, self-contained hardware consists of a battery, an ARM Cortex-M3 coprocessor, and the sensor/processor array device. The tracking algorithm is performed entirely by the processor array and the complete system draws 7.3mA during operation.\",\"PeriodicalId\":387536,\"journal\":{\"name\":\"2012 13th International Workshop on Cellular Nanoscale Networks and their Applications\",\"volume\":\"148 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-10-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 13th International Workshop on Cellular Nanoscale Networks and their Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CNNA.2012.6331467\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 13th International Workshop on Cellular Nanoscale Networks and their Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CNNA.2012.6331467","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

介绍了一种使用SCAMP-3视觉芯片的低功耗演示系统,用于跟踪和计数具有不可预测轨迹的多个目标。该系统可以跟踪尽可能多的离散物体,以适应其视野。紧凑、独立的硬件由电池、ARM Cortex-M3协处理器和传感器/处理器阵列设备组成。跟踪算法完全由处理器阵列完成,整个系统运行时的功耗为7.3mA。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Low power multiple object tracking and counting using a SCAMP cellular processor array
A low-power demonstration system using a SCAMP-3 vision chip to track and count multiple objects with unpredictable trajectories is presented. The system can track as many discrete objects that can fit into its visual field. The compact, self-contained hardware consists of a battery, an ARM Cortex-M3 coprocessor, and the sensor/processor array device. The tracking algorithm is performed entirely by the processor array and the complete system draws 7.3mA during operation.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Synchronization in cellular spin torque oscillator arrays CNN based dark signal non-uniformity estimation Advanced background elimination in digital holographic microscopy Boolean and non-boolean nearest neighbor architectures for out-of-plane nanomagnet logic 2nd order 2-D spatial filters and Cellular Neural Network implementations
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1