{"title":"大人群模拟中的小群体行为建模","authors":"Seung In Park, Yong Cao, Francis K. H. Quek","doi":"10.1145/2159616.2159659","DOIUrl":null,"url":null,"abstract":"Large crowds are seldom made up solely of a mass of individuals. They typically also include large collections of small groups. However the most of existing approaches to crowd modeling treat a crowd either as a collection of isolated individuals, each maintaining its own goal, or as an aggregated entity in which large number of individuals share the same goal and behavior pattern.","PeriodicalId":91160,"journal":{"name":"Proceedings. ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games","volume":"43 1","pages":"213"},"PeriodicalIF":0.0000,"publicationDate":"2012-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Modeling small group behaviors in large crowd simulation\",\"authors\":\"Seung In Park, Yong Cao, Francis K. H. Quek\",\"doi\":\"10.1145/2159616.2159659\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Large crowds are seldom made up solely of a mass of individuals. They typically also include large collections of small groups. However the most of existing approaches to crowd modeling treat a crowd either as a collection of isolated individuals, each maintaining its own goal, or as an aggregated entity in which large number of individuals share the same goal and behavior pattern.\",\"PeriodicalId\":91160,\"journal\":{\"name\":\"Proceedings. ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games\",\"volume\":\"43 1\",\"pages\":\"213\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-03-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings. ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2159616.2159659\",\"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. ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2159616.2159659","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Modeling small group behaviors in large crowd simulation
Large crowds are seldom made up solely of a mass of individuals. They typically also include large collections of small groups. However the most of existing approaches to crowd modeling treat a crowd either as a collection of isolated individuals, each maintaining its own goal, or as an aggregated entity in which large number of individuals share the same goal and behavior pattern.