Two Ant Decision Levels and Its Application to Multi-Cell Tracking

摘要：

　　Inspired by ants stochastic behavior in searching of multiple food sources, a novel ant system with two ant decision levels are proposed to track multiple cells in biological field.In the ant individual level, ants within the same colony perform independently, and ant decision is determined in probability by both its intended motion model and likelihood function.In the ant cooperation level, each ant adjusts individual state within its influence region, while the global best template at current iteration is found among all ant colonies and further utilized to update ant model probability, influence region, and the probability of fulfilling task.Simulation results demonstrate that our algorithm could automatically track numerous cells and its performance is compared with the multi-Bernoulli filtering method.

关键词： Ant Colony Multi-Cell Tracking Parameter Estimate

作者: Benlian Xu Qinglan Chen Mingli Lu Peiyi Zhu

作者单位: School of Mechanical Engineering, Changshu Institute of Technology, 215500 Changshu, China School of Electrical & Automatic Engineering, Changshu Institute of Technology, 215500 Changshu, Chi

会议类型: 国际会议

会议名称: 4th international Conference,ICSI2013(第4届群体智能国际会议)

会议地点: 哈尔滨

会议语种:英文

页码: 288-296

在线出版日期: 2013-06-12（万方平台首次上网日期，不代表论文的发表时间）