发明申请
- 专利标题: Graph-based cognitive swarms for object group recognition
- 专利标题(中): 基于图的认知群体,用于对象组识别
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申请号: US11433159申请日: 2006-05-12
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公开(公告)号: US20070183670A1公开(公告)日: 2007-08-09
- 发明人: Yuri Owechko , Swarup Medasani
- 申请人: Yuri Owechko , Swarup Medasani
- 主分类号: G06K9/62
- IPC分类号: G06K9/62 ; G06K9/46
摘要:
An object recognition system is described that incorporates swarming classifiers. The swarming classifiers comprise a plurality of software agents configured to operate as a cooperative swarm to classify an object group in a domain. Each node N represents an object in the group having K object attributes. Each agent is assigned an initial velocity vector to explore a KN-dimensional solution space for solutions matching the agent's graph. Further, each agent is configured to search the solution space for an optimum solution. The agents keep track of their coordinates in the KN-dimensional solution space that are associated with an observed best solution (pbest) and a global best solution (gbest). The gbest is used to store the best solution among all agents which corresponds to a best graph among all agents. Each velocity vector thereafter changes towards pbest and gbest, allowing the cooperative swarm to classify of the object group.