移动车辆上的文本标记检测

Seventh International Conference on Document Analysis and Recognition, 2003. Proceedings. Pub Date : 2003-08-03 DOI:10.1109/ICDAR.2003.1227696

R. Kasturi

{"title":"移动车辆上的文本标记检测","authors":"R. Kasturi","doi":"10.1109/ICDAR.2003.1227696","DOIUrl":null,"url":null,"abstract":"Vehicle text marks are unique features which are useful for identifying vehicles in video surveillance applications. We propose a method for finding such text marks. An existing text detection algorithm is modified such that detection is increased and made more robust to outdoor conditions. False alarm is reduced by introducing a binary image test which remove detections that are not likely to be caused by text. The method is tested on a captured video of a typical street scene.","PeriodicalId":249193,"journal":{"name":"Seventh International Conference on Document Analysis and Recognition, 2003. Proceedings.","volume":"250 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Detection of text marks on moving vehicles\",\"authors\":\"R. Kasturi\",\"doi\":\"10.1109/ICDAR.2003.1227696\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Vehicle text marks are unique features which are useful for identifying vehicles in video surveillance applications. We propose a method for finding such text marks. An existing text detection algorithm is modified such that detection is increased and made more robust to outdoor conditions. False alarm is reduced by introducing a binary image test which remove detections that are not likely to be caused by text. The method is tested on a captured video of a typical street scene.\",\"PeriodicalId\":249193,\"journal\":{\"name\":\"Seventh International Conference on Document Analysis and Recognition, 2003. Proceedings.\",\"volume\":\"250 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2003-08-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Seventh International Conference on Document Analysis and Recognition, 2003. Proceedings.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICDAR.2003.1227696\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Seventh International Conference on Document Analysis and Recognition, 2003. Proceedings.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDAR.2003.1227696","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 5

摘要

车辆文本标记是视频监控应用中用于识别车辆的独特功能。我们提出了一种查找此类文本标记的方法。对现有的文本检测算法进行了改进，从而增加了检测并使其对室外条件更具鲁棒性。通过引入二值图像测试来减少误报，该测试可以去除不太可能由文本引起的检测。该方法在一个典型街景的视频上进行了测试。

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

Detection of text marks on moving vehicles

Vehicle text marks are unique features which are useful for identifying vehicles in video surveillance applications. We propose a method for finding such text marks. An existing text detection algorithm is modified such that detection is increased and made more robust to outdoor conditions. False alarm is reduced by introducing a binary image test which remove detections that are not likely to be caused by text. The method is tested on a captured video of a typical street scene.

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

Seventh International Conference on Document Analysis and Recognition, 2003. Proceedings.

自引率

0.00%

发文量