基于全方位传感器的可视化数据挖掘

Proceedings of IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, MFI2003. Pub Date : 2003-09-23 DOI:10.1109/MFI-2003.2003.1232671

K. Kato, T. Shibata, H. Ishiguro

{"title":"基于全方位传感器的可视化数据挖掘","authors":"K. Kato, T. Shibata, H. Ishiguro","doi":"10.1109/MFI-2003.2003.1232671","DOIUrl":null,"url":null,"abstract":"In this paper, we propose a method that analyses images recorded throughout long term. Conventional methods used feature extraction and geometric technique, when these images were analyzed. However, the problem of the lack of information occurs in such methods. Then, we propose the method that uses pattern conversion of the images and statistical technique. Moreover, we experimented, and the effectiveness of our method was verified.","PeriodicalId":328873,"journal":{"name":"Proceedings of IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, MFI2003.","volume":"108 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Visual data mining using omni-directional sensor\",\"authors\":\"K. Kato, T. Shibata, H. Ishiguro\",\"doi\":\"10.1109/MFI-2003.2003.1232671\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we propose a method that analyses images recorded throughout long term. Conventional methods used feature extraction and geometric technique, when these images were analyzed. However, the problem of the lack of information occurs in such methods. Then, we propose the method that uses pattern conversion of the images and statistical technique. Moreover, we experimented, and the effectiveness of our method was verified.\",\"PeriodicalId\":328873,\"journal\":{\"name\":\"Proceedings of IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, MFI2003.\",\"volume\":\"108 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2003-09-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, MFI2003.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MFI-2003.2003.1232671\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, MFI2003.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MFI-2003.2003.1232671","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

在本文中，我们提出了一种分析长期记录的图像的方法。传统的图像分析方法主要采用特征提取和几何技术。但是，这种方法存在信息缺乏的问题。然后，我们提出了利用图像的模式转换和统计技术的方法。并通过实验验证了该方法的有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Visual data mining using omni-directional sensor

In this paper, we propose a method that analyses images recorded throughout long term. Conventional methods used feature extraction and geometric technique, when these images were analyzed. However, the problem of the lack of information occurs in such methods. Then, we propose the method that uses pattern conversion of the images and statistical technique. Moreover, we experimented, and the effectiveness of our method was verified.

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

Proceedings of IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, MFI2003.

自引率

0.00%

发文量