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浏览/检索结果: 共12条，第1-10条 帮助

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A Novel Pixel-Wise Defect Inspection Method Based on Stable Background Reconstruction 期刊论文  OAI收割
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2021, 卷号: 70, 页码: 13
作者:  Lv, Chengkan;  Shen, Fei;  Zhang, Zhengtao;  Xu, De;  He, Yonghao
  |  收藏  |  浏览/下载：17/0  |  提交时间：2021/11/03
Moving target extraction and background reconstruction algorithm 期刊论文  OAI收割
Journal of Ambient Intelligence and Humanized Computing, 2020
作者:  Qiu, Shi;  Li, Xuemei
  |  收藏  |  浏览/下载：15/0  |  提交时间：2020/11/10
A Fast Surface Defect Detection Method Based on Background Reconstruction 期刊论文  OAI收割
INTERNATIONAL JOURNAL OF PRECISION ENGINEERING AND MANUFACTURING, 2019, 页码: 13
作者:  Lv, Chengkan;  Zhang, Zhengtao;  Shen, Fei;  Zhang, Feng;  Su, Hu
  |  收藏  |  浏览/下载：68/0  |  提交时间：2020/03/30
The infrared moving target extraction and fast video reconstruction algorithm 期刊论文  OAI收割
INFRARED PHYSICS & TECHNOLOGY, 2019, 卷号: 97, 页码: 85-92
作者:  Qiu, Shi;  Tang, Ying;  Du, Yun;  Yang, Song
  |  收藏  |  浏览/下载：37/0  |  提交时间：2019/05/20
Quadruped Animal Moving Target Extraction and Background Reconstruction Algorithm 期刊论文  OAI收割
REVISTA CIENTIFICA-FACULTAD DE CIENCIAS VETERINARIAS, 2019, 卷号: 29, 期号: 5, 页码: 1416-1424
作者:  Zhou, Dongmei;  Qiu, Shi;  Li, Ni;  Li, Zhengzhou;  Huang, Yongdong
  |  收藏  |  浏览/下载：74/0  |  提交时间：2019/10/11
Dim small targets detection based on statistical block low-rank background modeling 会议论文  OAI收割
Beijing, China, July 7, 2019 - July 9, 2019
作者:  Li, Biao;  Xu, Zhiyong;  Zhang, Jianlin;  Fan, Xiangsuo
  |  收藏  |  浏览/下载：38/0  |  提交时间：2021/05/06
Background Reconstruction via Low Rank Tensor Factorization 会议论文  OAI收割
Chengdu, China, December 12-14, 2018
作者:  Zhang Y(张杨);  Tang YD(唐延东);  Chen XA(陈希爱);  Han Z(韩志);  Shen GP(沈贵萍)
  |  收藏  |  浏览/下载：31/0  |  提交时间：2018/12/27
基于双目视觉的背景分割技术研究 学位论文  OAI收割
工学硕士, 中国科学院自动化研究所: 中国科学院研究生院, 2010
时岭
收藏  |  浏览/下载：77/0  |  提交时间：2015/09/02
Adaptive resolution storage system based on LOG-POLAR transform for multi-target trackers (EI CONFERENCE) 会议论文  OAI收割
2010 International Conference on Computer Application and System Modeling, ICCASM 2010, October 22, 2010 - October 24, 2010, Shanxi, Taiyuan, China
作者:  Zhang Y.
收藏  |  浏览/下载：22/0  |  提交时间：2013/03/25
The main constrained problem of the video monitoring and storage system is the contradiction between large field of view and storage space limitations. Not all of the video information introduced by the image sensors need to be recorded especially for some tracking system which has appointed functions to track specifically kinds of targets. For instance  the system not only works for single target  if the monitor is appointed for human face tracking  but also can work for multi-targets. High reconstruction resolution in the fovea region enables the successive application of recognition modules without sacrificing their performance  the best system appears to be concentrating on human face only and all the others considered being background  the low reconstruction resolution in the periphery helps to reduce the video data. 2010 IEEE.  the background regions needn't to be recorded in detail. For this purpose  this letter presents a real-time foveate storage system  which efficiently represents the video image in log-polar coordinates  with the foveate point centered on the target  
Digital reconstruction on geographical environment of Neolithic human activities in the Lingjiatan site of Chaohu City, East China 会议论文  OAI收割
Sixth International Symposium on Digital Earth: Data Processing and Applications
Wang, Xinyuan; Zhang, Jie; Wu, Li; Zhou, Kunshu; Mo, Duowen
收藏  |  浏览/下载：16/0  |  提交时间：2014/12/07