{"title":"基于Kinect 3D摄像头的眼球追踪,检测观众室内广告的数量","authors":"C. Kwan, James Purnama, Kho I Eng","doi":"10.1109/ICAICTA.2014.7005927","DOIUrl":null,"url":null,"abstract":"The primary purpose is to track the amount of indoor advertisement viewer using the Kinect Xbox 360 as the tracking device, and visual studio 2012 to modified the system. Using the source code named Pupillary Distance to get the drawing of eye-models, then modified it to create angle algorithm and determine ID as the viewer. There are some scenario which is to supervise the system's result with any help of volunteers to move past the camera. The scenario is to get the accuracy rate of the system. Then adding angle between the camera and the eyes to tell the position of the eyes, and to tell on what angles do a person mostly mistaken as a viewer. The benefit of the mistaken angle can be useful to get better result in the future research.","PeriodicalId":173600,"journal":{"name":"2014 International Conference of Advanced Informatics: Concept, Theory and Application (ICAICTA)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Kinect 3D camera based eye-tracking to detect the amount of indoor advertisement viewer\",\"authors\":\"C. Kwan, James Purnama, Kho I Eng\",\"doi\":\"10.1109/ICAICTA.2014.7005927\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The primary purpose is to track the amount of indoor advertisement viewer using the Kinect Xbox 360 as the tracking device, and visual studio 2012 to modified the system. Using the source code named Pupillary Distance to get the drawing of eye-models, then modified it to create angle algorithm and determine ID as the viewer. There are some scenario which is to supervise the system's result with any help of volunteers to move past the camera. The scenario is to get the accuracy rate of the system. Then adding angle between the camera and the eyes to tell the position of the eyes, and to tell on what angles do a person mostly mistaken as a viewer. The benefit of the mistaken angle can be useful to get better result in the future research.\",\"PeriodicalId\":173600,\"journal\":{\"name\":\"2014 International Conference of Advanced Informatics: Concept, Theory and Application (ICAICTA)\",\"volume\":\"42 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 International Conference of Advanced Informatics: Concept, Theory and Application (ICAICTA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICAICTA.2014.7005927\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 International Conference of Advanced Informatics: Concept, Theory and Application (ICAICTA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAICTA.2014.7005927","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
摘要
主要目的是利用Kinect xbox360作为跟踪设备跟踪观众的室内广告量,并利用visual studio 2012对系统进行修改。利用瞳孔距离源代码得到眼模型的绘图,然后对其进行修改,生成角度算法并确定ID为观看者。有一些场景是在志愿者的帮助下监督系统的结果。该场景是为了得到系统的准确率。然后添加相机和眼睛之间的角度来判断眼睛的位置,以及判断一个人在什么角度上最容易被误认为是观察者。错误角度的好处可以帮助在今后的研究中获得更好的结果。
Kinect 3D camera based eye-tracking to detect the amount of indoor advertisement viewer
The primary purpose is to track the amount of indoor advertisement viewer using the Kinect Xbox 360 as the tracking device, and visual studio 2012 to modified the system. Using the source code named Pupillary Distance to get the drawing of eye-models, then modified it to create angle algorithm and determine ID as the viewer. There are some scenario which is to supervise the system's result with any help of volunteers to move past the camera. The scenario is to get the accuracy rate of the system. Then adding angle between the camera and the eyes to tell the position of the eyes, and to tell on what angles do a person mostly mistaken as a viewer. The benefit of the mistaken angle can be useful to get better result in the future research.