Wang Zhi-hao, Kung Yu-Fan, Chen Yu-Yan, Hendrick, Aripriharta, Jong Gwo-Jia
{"title":"Mobile device combine the study of image track and surveillance monitor system","authors":"Wang Zhi-hao, Kung Yu-Fan, Chen Yu-Yan, Hendrick, Aripriharta, Jong Gwo-Jia","doi":"10.1109/ICEEIE.2017.8328767","DOIUrl":null,"url":null,"abstract":"In modern day societies, children sometimes are taking care by the housemaid, and the parent needs to monitor the house from their office. This paper presents the image tracking surveillance system which can be used to monitor and care for infants and young children. We used a grayscale image from 0 to 255. The proposed algorithm is Binary Thresholding where each pixel of the image is compared with the threshold value. We set the threshold to black in order to reduce the complexity of image information. Thus, the image can be established by background subtraction method. The tracking mechanism will start using temporal difference and object segmentation that carries out of dynamic Image Tracing. If the tracking object is beyond the warning range so the system will take the initiative to issue a warning. The future can be through the cloud server for a huge amount of image analysis, and establish to the multi-user remote monitoring function.","PeriodicalId":304532,"journal":{"name":"2017 5th International Conference on Electrical, Electronics and Information Engineering (ICEEIE)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 5th International Conference on Electrical, Electronics and Information Engineering (ICEEIE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEEIE.2017.8328767","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In modern day societies, children sometimes are taking care by the housemaid, and the parent needs to monitor the house from their office. This paper presents the image tracking surveillance system which can be used to monitor and care for infants and young children. We used a grayscale image from 0 to 255. The proposed algorithm is Binary Thresholding where each pixel of the image is compared with the threshold value. We set the threshold to black in order to reduce the complexity of image information. Thus, the image can be established by background subtraction method. The tracking mechanism will start using temporal difference and object segmentation that carries out of dynamic Image Tracing. If the tracking object is beyond the warning range so the system will take the initiative to issue a warning. The future can be through the cloud server for a huge amount of image analysis, and establish to the multi-user remote monitoring function.