Yusuke Taniguchi, H. Nakajima, N. Tsuchiya, J. Tanaka, F. Aita, Y. Hata
{"title":"Resolution analysis for estimating human numbers by thermal array sensor system","authors":"Yusuke Taniguchi, H. Nakajima, N. Tsuchiya, J. Tanaka, F. Aita, Y. Hata","doi":"10.1109/WAC.2014.6935966","DOIUrl":null,"url":null,"abstract":"This paper describes an estimating system of human numbers for resolution change by a thermal array sensor. In this system, the sensor is attached to ceiling of a room and acquires temperature distributions by 16 × 16 elements. The temperature distributions represent a state of temperature in the room, and they are analyzed to estimate human numbers. Temperature distributions consist of 16 × 16 pixels. The, temperature distributions are squared of each pixel temperature and reduced their resolution to 8 × 8 and 4 × 4. Then, human numbers are estimated by fuzzy inference. In our experiment, we measured temperature distribution in a room to evaluate of our system. From the results, the proposed method obtained higher accuracy than previous work in 8 × 8 and 4 × 4 resolution. Estimation accuracy of 8 × 8 resolution is better than 4 × 4 resolution.","PeriodicalId":196519,"journal":{"name":"2014 World Automation Congress (WAC)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 World Automation Congress (WAC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WAC.2014.6935966","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
This paper describes an estimating system of human numbers for resolution change by a thermal array sensor. In this system, the sensor is attached to ceiling of a room and acquires temperature distributions by 16 × 16 elements. The temperature distributions represent a state of temperature in the room, and they are analyzed to estimate human numbers. Temperature distributions consist of 16 × 16 pixels. The, temperature distributions are squared of each pixel temperature and reduced their resolution to 8 × 8 and 4 × 4. Then, human numbers are estimated by fuzzy inference. In our experiment, we measured temperature distribution in a room to evaluate of our system. From the results, the proposed method obtained higher accuracy than previous work in 8 × 8 and 4 × 4 resolution. Estimation accuracy of 8 × 8 resolution is better than 4 × 4 resolution.