Zhenghao Li, Shiqing Fu, Junwen Deng, Junying Yang, Yang Ran, Honghu Li
{"title":"基于PTZ热红外成像仪的连续区域跟踪","authors":"Zhenghao Li, Shiqing Fu, Junwen Deng, Junying Yang, Yang Ran, Honghu Li","doi":"10.1109/EUROSIM.2013.74","DOIUrl":null,"url":null,"abstract":"We propose a real-time key point tracking and mapping approach for continuous region tracking. The proposed approach is realized in a parallel way, which can be substantially optimized for multi-core processor. One thread tracks the key points employing our ultra-low-weight key point detector and hybrid SP-Tree, and the other thread handles the 3D mapping task. Experiments are conducted to demonstrate that the proposed approach can keep high accuracy while substantially reducing the computational load. In conjunction with background segmentation, the proposed approach can address region tracking task using PTZ Thermal Infrared Imager.","PeriodicalId":386945,"journal":{"name":"2013 8th EUROSIM Congress on Modelling and Simulation","volume":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Continuous Region Tracking Using PTZ Thermal Infrared Imager\",\"authors\":\"Zhenghao Li, Shiqing Fu, Junwen Deng, Junying Yang, Yang Ran, Honghu Li\",\"doi\":\"10.1109/EUROSIM.2013.74\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We propose a real-time key point tracking and mapping approach for continuous region tracking. The proposed approach is realized in a parallel way, which can be substantially optimized for multi-core processor. One thread tracks the key points employing our ultra-low-weight key point detector and hybrid SP-Tree, and the other thread handles the 3D mapping task. Experiments are conducted to demonstrate that the proposed approach can keep high accuracy while substantially reducing the computational load. In conjunction with background segmentation, the proposed approach can address region tracking task using PTZ Thermal Infrared Imager.\",\"PeriodicalId\":386945,\"journal\":{\"name\":\"2013 8th EUROSIM Congress on Modelling and Simulation\",\"volume\":\"37 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-09-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 8th EUROSIM Congress on Modelling and Simulation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/EUROSIM.2013.74\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 8th EUROSIM Congress on Modelling and Simulation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EUROSIM.2013.74","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Continuous Region Tracking Using PTZ Thermal Infrared Imager
We propose a real-time key point tracking and mapping approach for continuous region tracking. The proposed approach is realized in a parallel way, which can be substantially optimized for multi-core processor. One thread tracks the key points employing our ultra-low-weight key point detector and hybrid SP-Tree, and the other thread handles the 3D mapping task. Experiments are conducted to demonstrate that the proposed approach can keep high accuracy while substantially reducing the computational load. In conjunction with background segmentation, the proposed approach can address region tracking task using PTZ Thermal Infrared Imager.