An Object Recognition Method for Indoor Robot Based on Feature-Line Flows
An object recognition method for agent, indoor mobile robot for instance,is presented based on feature-line flows.Considering the surrounding of indoor scenes,we extract the feature lines from image sequence captured through camera by using Radon Transform,and then calculate their optical flows;Secondly,process those flows through PCA,distinguish moving objects from static objects by computing residual errors;If objects can not be recognized correctly because that they are occluded by something else or similar highly to other objects,we use the secondary way -Rough Set Processing -to do it,which is based on object features.Finally,experiments results are presented and they show that the method appears well on both efficiency and anti-noise.
mobile Robot object recognition feature-line flow Rough Set Principal Components Analysis (PCA)
Zhenhua WEI Hailong ZHU Peidong WANG
Department of Computer Science and Technology North China Electric Power University Beijing, China Department of Computer Science and Technology Harbin University of Science and Technology Harbin, Ch
国际会议
2007 IEEE International Conference on Automation and Lofistics
山东济南
英文
2007-08-18（万方平台首次上网日期，不代表论文的发表时间）