{"title":"用于交互式环境理解的实时协同图像处理","authors":"T. Hamada, K. Kamejima, M. Tsuchiya","doi":"10.1109/IECON.1993.339344","DOIUrl":null,"url":null,"abstract":"A real-time cooperative image processing method that enables interactive understanding of the environment is proposed for use in intelligent teleoperation systems. An object recognition process for interactive environmental map building is developed by combining simple independent recognition agents with a cooperation mechanism to achieve real-time data acquisition in a changing environment. The cooperation mechanism is obtained by designing each independent agent to work recursively while referring to a common object model. This method provides a flexible recognition process that interactively produces useful results, even from complicated environment scenes. The proposed method is shown to work successfully.<<ETX>>","PeriodicalId":132101,"journal":{"name":"Proceedings of IECON '93 - 19th Annual Conference of IEEE Industrial Electronics","volume":"58 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1993-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Real-time cooperative image processing for interactive environment understanding\",\"authors\":\"T. Hamada, K. Kamejima, M. Tsuchiya\",\"doi\":\"10.1109/IECON.1993.339344\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A real-time cooperative image processing method that enables interactive understanding of the environment is proposed for use in intelligent teleoperation systems. An object recognition process for interactive environmental map building is developed by combining simple independent recognition agents with a cooperation mechanism to achieve real-time data acquisition in a changing environment. The cooperation mechanism is obtained by designing each independent agent to work recursively while referring to a common object model. This method provides a flexible recognition process that interactively produces useful results, even from complicated environment scenes. The proposed method is shown to work successfully.<<ETX>>\",\"PeriodicalId\":132101,\"journal\":{\"name\":\"Proceedings of IECON '93 - 19th Annual Conference of IEEE Industrial Electronics\",\"volume\":\"58 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1993-11-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of IECON '93 - 19th Annual Conference of IEEE Industrial Electronics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IECON.1993.339344\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of IECON '93 - 19th Annual Conference of IEEE Industrial Electronics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IECON.1993.339344","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Real-time cooperative image processing for interactive environment understanding
A real-time cooperative image processing method that enables interactive understanding of the environment is proposed for use in intelligent teleoperation systems. An object recognition process for interactive environmental map building is developed by combining simple independent recognition agents with a cooperation mechanism to achieve real-time data acquisition in a changing environment. The cooperation mechanism is obtained by designing each independent agent to work recursively while referring to a common object model. This method provides a flexible recognition process that interactively produces useful results, even from complicated environment scenes. The proposed method is shown to work successfully.<>