{"title":"基于嵌入式系统的中提琴-琼斯人脸检测方法在CCTV摄像机上的分析实现","authors":"I. G. N. M. K. Raya, A. N. Jati, R. E. Saputra","doi":"10.1109/ROBIONETICS.2017.8203427","DOIUrl":null,"url":null,"abstract":"In this paper the use a face detection system with Viola-Jones method mounted on a surveillance camera in a room as a CCTV is conducted. The camera turns on automatically and moves toward an object corresponding to the input received from a laser range finder. It makes use of the camera becomes more efficient. The output of this research is that the use of Viola-Jones method can immediately detect a human face more than once shoot it in real-time and know the ideal face position to be detected. The results of face detection are captured by the camera and then the final pictures are sent to the server for further processing by a mobile application.","PeriodicalId":113512,"journal":{"name":"2017 International Conference on Robotics, Biomimetics, and Intelligent Computational Systems (Robionetics)","volume":"125 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"14","resultStr":"{\"title\":\"Analysis realization of Viola-Jones method for face detection on CCTV camera based on embedded system\",\"authors\":\"I. G. N. M. K. Raya, A. N. Jati, R. E. Saputra\",\"doi\":\"10.1109/ROBIONETICS.2017.8203427\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper the use a face detection system with Viola-Jones method mounted on a surveillance camera in a room as a CCTV is conducted. The camera turns on automatically and moves toward an object corresponding to the input received from a laser range finder. It makes use of the camera becomes more efficient. The output of this research is that the use of Viola-Jones method can immediately detect a human face more than once shoot it in real-time and know the ideal face position to be detected. The results of face detection are captured by the camera and then the final pictures are sent to the server for further processing by a mobile application.\",\"PeriodicalId\":113512,\"journal\":{\"name\":\"2017 International Conference on Robotics, Biomimetics, and Intelligent Computational Systems (Robionetics)\",\"volume\":\"125 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"14\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 International Conference on Robotics, Biomimetics, and Intelligent Computational Systems (Robionetics)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ROBIONETICS.2017.8203427\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International Conference on Robotics, Biomimetics, and Intelligent Computational Systems (Robionetics)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ROBIONETICS.2017.8203427","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Analysis realization of Viola-Jones method for face detection on CCTV camera based on embedded system
In this paper the use a face detection system with Viola-Jones method mounted on a surveillance camera in a room as a CCTV is conducted. The camera turns on automatically and moves toward an object corresponding to the input received from a laser range finder. It makes use of the camera becomes more efficient. The output of this research is that the use of Viola-Jones method can immediately detect a human face more than once shoot it in real-time and know the ideal face position to be detected. The results of face detection are captured by the camera and then the final pictures are sent to the server for further processing by a mobile application.