{"title":"红外视频自动实时运动目标检测","authors":"Shahryar Karimi-Ashtiani, C.-C. Jay Kuo","doi":"10.1109/IIH-MSP.2006.64","DOIUrl":null,"url":null,"abstract":"A novel progressive estimation scheme is proposed to detect moving targets in infrared video sequences in this work. The proposed algorithm does not place constraints on camera motions nor requires rigid backgrounds. The complexity of the algorithm is low so that it can be performed in real time. Computational results of the algorithm applied to a real-world infrared video sequence are given to demonstrate its superior detection performance.","PeriodicalId":272579,"journal":{"name":"2006 International Conference on Intelligent Information Hiding and Multimedia","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Automatic Real-Time Moving Target Detection from Infrared Video\",\"authors\":\"Shahryar Karimi-Ashtiani, C.-C. Jay Kuo\",\"doi\":\"10.1109/IIH-MSP.2006.64\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A novel progressive estimation scheme is proposed to detect moving targets in infrared video sequences in this work. The proposed algorithm does not place constraints on camera motions nor requires rigid backgrounds. The complexity of the algorithm is low so that it can be performed in real time. Computational results of the algorithm applied to a real-world infrared video sequence are given to demonstrate its superior detection performance.\",\"PeriodicalId\":272579,\"journal\":{\"name\":\"2006 International Conference on Intelligent Information Hiding and Multimedia\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-12-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2006 International Conference on Intelligent Information Hiding and Multimedia\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IIH-MSP.2006.64\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 International Conference on Intelligent Information Hiding and Multimedia","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IIH-MSP.2006.64","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Automatic Real-Time Moving Target Detection from Infrared Video
A novel progressive estimation scheme is proposed to detect moving targets in infrared video sequences in this work. The proposed algorithm does not place constraints on camera motions nor requires rigid backgrounds. The complexity of the algorithm is low so that it can be performed in real time. Computational results of the algorithm applied to a real-world infrared video sequence are given to demonstrate its superior detection performance.
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