采用改进的航迹-观测分配权方法进行多目标跟踪数据关联

7th International Multi Topic Conference, 2003. INMIC 2003. Pub Date : 2003-12-08 DOI:10.1109/INMIC.2003.1416743

D. Mohammad, A. Hussain

{"title":"采用改进的航迹-观测分配权方法进行多目标跟踪数据关联","authors":"D. Mohammad, A. Hussain","doi":"10.1109/INMIC.2003.1416743","DOIUrl":null,"url":null,"abstract":"The problem of tracking multiple targets from noisy observation data using a modified track splitting algorithm for data assignment has been discussed In this work. Simulation studies have shown the relative improvement in performance for the selection of hypotheses from all the possible assignments generated during the current scan, using the proposed modified track splitting algorithm compared with a standard version of this algorithm.","PeriodicalId":253329,"journal":{"name":"7th International Multi Topic Conference, 2003. INMIC 2003.","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Tracking multiple objects using modified track-observation assignment weight approach for data association\",\"authors\":\"D. Mohammad, A. Hussain\",\"doi\":\"10.1109/INMIC.2003.1416743\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The problem of tracking multiple targets from noisy observation data using a modified track splitting algorithm for data assignment has been discussed In this work. Simulation studies have shown the relative improvement in performance for the selection of hypotheses from all the possible assignments generated during the current scan, using the proposed modified track splitting algorithm compared with a standard version of this algorithm.\",\"PeriodicalId\":253329,\"journal\":{\"name\":\"7th International Multi Topic Conference, 2003. INMIC 2003.\",\"volume\":\"19 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2003-12-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"7th International Multi Topic Conference, 2003. INMIC 2003.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/INMIC.2003.1416743\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"7th International Multi Topic Conference, 2003. INMIC 2003.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INMIC.2003.1416743","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

本文讨论了一种改进的航迹分割算法在噪声观测数据中跟踪多目标的问题。仿真研究表明，与该算法的标准版本相比，使用改进的航迹分割算法从当前扫描过程中产生的所有可能赋值中选择假设的性能相对提高。

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

Tracking multiple objects using modified track-observation assignment weight approach for data association

The problem of tracking multiple targets from noisy observation data using a modified track splitting algorithm for data assignment has been discussed In this work. Simulation studies have shown the relative improvement in performance for the selection of hypotheses from all the possible assignments generated during the current scan, using the proposed modified track splitting algorithm compared with a standard version of this algorithm.

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

7th International Multi Topic Conference, 2003. INMIC 2003.

自引率

0.00%

发文量