{"title":"用于广域监控的图像拼接模块","authors":"Marko Heikkilä, M. Pietikäinen","doi":"10.1145/1099396.1099400","DOIUrl":null,"url":null,"abstract":"This paper presents a fully automatic image mosaicing method for needs of wide-area video surveillance. A pure feature-based approach was adopted for finding the registration between the images. This approach provides us with several advantages. Our method is robust against illumination variations, moving objects, image rotation, image scaling, imaging noise, and is relatively fast to calculate. We have tested the performance of the proposed method against several video sequences captured from real-world scenes. The results clearly justify our approach.","PeriodicalId":196499,"journal":{"name":"Proceedings of the third ACM international workshop on Video surveillance & sensor networks","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"32","resultStr":"{\"title\":\"An image mosaicing module for wide-area surveillance\",\"authors\":\"Marko Heikkilä, M. Pietikäinen\",\"doi\":\"10.1145/1099396.1099400\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a fully automatic image mosaicing method for needs of wide-area video surveillance. A pure feature-based approach was adopted for finding the registration between the images. This approach provides us with several advantages. Our method is robust against illumination variations, moving objects, image rotation, image scaling, imaging noise, and is relatively fast to calculate. We have tested the performance of the proposed method against several video sequences captured from real-world scenes. The results clearly justify our approach.\",\"PeriodicalId\":196499,\"journal\":{\"name\":\"Proceedings of the third ACM international workshop on Video surveillance & sensor networks\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2005-11-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"32\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the third ACM international workshop on Video surveillance & sensor networks\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/1099396.1099400\",\"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 the third ACM international workshop on Video surveillance & sensor networks","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1099396.1099400","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An image mosaicing module for wide-area surveillance
This paper presents a fully automatic image mosaicing method for needs of wide-area video surveillance. A pure feature-based approach was adopted for finding the registration between the images. This approach provides us with several advantages. Our method is robust against illumination variations, moving objects, image rotation, image scaling, imaging noise, and is relatively fast to calculate. We have tested the performance of the proposed method against several video sequences captured from real-world scenes. The results clearly justify our approach.