Baolong Zhao, Zehui Li, Mengyuan Liu, Wen Cao, Hong Liu
{"title":"基于区域显著性检测的24小时监控系统红外与可见光图像融合","authors":"Baolong Zhao, Zehui Li, Mengyuan Liu, Wen Cao, Hong Liu","doi":"10.1109/ROBIO.2013.6739608","DOIUrl":null,"url":null,"abstract":"With the growing demand for security, video surveillance is becoming increasingly important. And persistence is a key indicator for intelligent surveillance systems which means the ability to fit 24 hoursall-weather work. While the performances of traditional surveillance systems are limited since they can only gain either visible images during the day or intensity images in poor illumination conditions at night. To solve this problem, the integration of images from multiple sensors is becoming a new way. This paper utilize this measure to realize a whole day moving object detection system. First, infrared and visible images are integrated using Region saliency detection (RSD) method with different fusion strategies applied for salient and non-salient regions. In the next target detection stage, fused images are adopted instead of directly using images from various sensors for time efficiency. And background subtraction method is employed afterwards using Mixture of Gaussian (MOG). Experiments in several kinds of environments give promising results and show that this model is robust for whole-day surveillance.","PeriodicalId":434960,"journal":{"name":"2013 IEEE International Conference on Robotics and Biomimetics (ROBIO)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Infrared and visible imagery fusion based on region saliency detection for 24-hour-surveillance systems\",\"authors\":\"Baolong Zhao, Zehui Li, Mengyuan Liu, Wen Cao, Hong Liu\",\"doi\":\"10.1109/ROBIO.2013.6739608\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With the growing demand for security, video surveillance is becoming increasingly important. And persistence is a key indicator for intelligent surveillance systems which means the ability to fit 24 hoursall-weather work. While the performances of traditional surveillance systems are limited since they can only gain either visible images during the day or intensity images in poor illumination conditions at night. To solve this problem, the integration of images from multiple sensors is becoming a new way. This paper utilize this measure to realize a whole day moving object detection system. First, infrared and visible images are integrated using Region saliency detection (RSD) method with different fusion strategies applied for salient and non-salient regions. In the next target detection stage, fused images are adopted instead of directly using images from various sensors for time efficiency. And background subtraction method is employed afterwards using Mixture of Gaussian (MOG). Experiments in several kinds of environments give promising results and show that this model is robust for whole-day surveillance.\",\"PeriodicalId\":434960,\"journal\":{\"name\":\"2013 IEEE International Conference on Robotics and Biomimetics (ROBIO)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 IEEE International Conference on Robotics and Biomimetics (ROBIO)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ROBIO.2013.6739608\",\"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 IEEE International Conference on Robotics and Biomimetics (ROBIO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ROBIO.2013.6739608","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Infrared and visible imagery fusion based on region saliency detection for 24-hour-surveillance systems
With the growing demand for security, video surveillance is becoming increasingly important. And persistence is a key indicator for intelligent surveillance systems which means the ability to fit 24 hoursall-weather work. While the performances of traditional surveillance systems are limited since they can only gain either visible images during the day or intensity images in poor illumination conditions at night. To solve this problem, the integration of images from multiple sensors is becoming a new way. This paper utilize this measure to realize a whole day moving object detection system. First, infrared and visible images are integrated using Region saliency detection (RSD) method with different fusion strategies applied for salient and non-salient regions. In the next target detection stage, fused images are adopted instead of directly using images from various sensors for time efficiency. And background subtraction method is employed afterwards using Mixture of Gaussian (MOG). Experiments in several kinds of environments give promising results and show that this model is robust for whole-day surveillance.