{"title":"基于非对称Voronoi图的视觉传感器网络多目标跟踪","authors":"Tien-Wen Sung, Chu-Sing Yang","doi":"10.1109/ICCE-TW.2015.7216875","DOIUrl":null,"url":null,"abstract":"This paper proposes a distributed approach for multiple-targets tracking in a visual sensor network. A geometric structure of asymmetric Voronoi diagram is constructed to make the approach be applicable to those visual sensors that sensing distances are different. The objective of the proposed approach is to improve target tracking results of a visual sensor network.","PeriodicalId":340402,"journal":{"name":"2015 IEEE International Conference on Consumer Electronics - Taiwan","volume":"48 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Multiple targets tracking in visual sensor networks based on asymmetrie Voronoi diagram\",\"authors\":\"Tien-Wen Sung, Chu-Sing Yang\",\"doi\":\"10.1109/ICCE-TW.2015.7216875\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes a distributed approach for multiple-targets tracking in a visual sensor network. A geometric structure of asymmetric Voronoi diagram is constructed to make the approach be applicable to those visual sensors that sensing distances are different. The objective of the proposed approach is to improve target tracking results of a visual sensor network.\",\"PeriodicalId\":340402,\"journal\":{\"name\":\"2015 IEEE International Conference on Consumer Electronics - Taiwan\",\"volume\":\"48 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-06-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 IEEE International Conference on Consumer Electronics - Taiwan\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCE-TW.2015.7216875\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE International Conference on Consumer Electronics - Taiwan","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCE-TW.2015.7216875","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Multiple targets tracking in visual sensor networks based on asymmetrie Voronoi diagram
This paper proposes a distributed approach for multiple-targets tracking in a visual sensor network. A geometric structure of asymmetric Voronoi diagram is constructed to make the approach be applicable to those visual sensors that sensing distances are different. The objective of the proposed approach is to improve target tracking results of a visual sensor network.
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