Target Recognition Algorithm Based On Local Spatial Redundancy Suppression Of Visual Information

With the rapid development of science and technology in all aspects,Multi-agent system research by distributed problem is a focus of research.In research problem when presents the complexity and distribution,the monomer solution usually represented when the restriction of the resources and capabilities,therefore the ability to implement the combination of collaborative between monomer through the ascension and the expansion of resources will make the system have better effectiveness.In the national defense military,environmental monitoring,traffic management,and many other aspects are the related application fields of wireless sensor network,multi-sensor network target tracking technology as one of the application on the one hand there are similar to Multi-agent system system research problems.The perception,processing and other single sensor node resources seriously restrict,it is difficult to meet the target tracking implementation,through the network with Multi-agent system coordination treatment to make full use of resources to avoid resource limits to achieve better tracking capability will be a good solution.This article for target tracking in wireless sensor networks is the core of the problem analysis,use the combination of the relevant theories of Multi-agent system application effectively.First of all,the task decomposition related contents of research,including how to define the task and the ability of description,monomer structure model and the principle of task decomposition and process research.Then has carried on the task of collaborative process of the specific studies,including several commonly used sensor network architecture and collaborative process can be achieved,on the basis of these improvements is suitable for sensor network collaborative process of target tracking task.Finally has carried on the sensor network of target tracking algorithm research,analysis of the algorithms for target tracking including linear kalman filter and extended kalman filter,no trace kalman filter and particle filter,the simulation and analysis of several algorithms on the basis of combining the features of sensor network nodes in the effective fusion of target tracking algorithm,and the integration after the simulation and the results verify the effectiveness of the algorithm.