摘要
为了寻找目标外观的最佳匹配,将人类三阶段记忆模型引入到多智能体协同进化过程,提出一种基于记忆的多智能体系统模型用于运动目标跟踪。每一个智能体根据其自身的经验都能记住、提取或遗忘记忆系统中的目标外观。多个这样的智能体随机分布在目标区域附近,然后映射到一个二维网格环境并通过实施协同进化行为,如竞争、重组、迁移,估计目标的新位置。实验表明,该方法能够处理目标姿态变化及目标遮挡问题,并优于传统的粒子滤波方法。
The three-stage human memory mechanism was introduced into a multi agent co-evolutionary process to find a best match for the object appearance, and a memory-based multi agent system for tracking the moving objects was presented. Each agent can remember, retrieve or forget the object appearance through its own memory system by its own experience. A number of such memory based agents are randomly distributed nearby the located object region and then mapped onto a 2I) latticelike environment for predicting the new location of the object by their co-evolutio- nary behaviors, such as competition, recombination, and migration. Experimental results show that the proposed method can deal with large appearance changes and heavy occlusions when tracking a moving object, locate the correct object after the appearance changes or the occlusion recovers, and outperform the traditional particle filter based tracking method.
出处
《山东科技大学学报(自然科学版)》
CAS
2013年第3期22-27,34,共7页
Journal of Shandong University of Science and Technology(Natural Science)
基金
国家自然科学基金项目(60873163
61271407)
中央高校基本科研业务费专项资金项目(27R1105019A
R1405008A)
关键词
多智能体系统
人类记忆机制
协同进化
目标跟踪
目标姿态变化
目标遮挡
multi-agent system
human memory mechanism
co-evolution
object tracking
object appearance change
target occlusion