Object recognition of robot based on hidden Markov models

被引：0
|
作者：
Cui, BM [1 ]
von Seelen, W [1 ]
机构：
[1] Ruhr Univ Bochum, Inst Neuroinformat, D-44780 Bochum, Germany
来源：
2000 5TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS, VOLS I-III | 2000年
关键词：
image processing; robot vision; object classification; Hidden Markov models (HMM);
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this paper, we propose a new scheme for object recognition in robot vision. The proposed scheme uses HSI model as the input. A gradient algorithm is used to obtain the edge estimation of objects. The edge points are regarded as stimulus and the other points as nonstimulus. The stimulus context of all the possible positions of objects is coded in stimulus vectors. Then a HMM-based vision system for scene analyse and object recognition is presented. This method has been tested using our mobile service robot called ARNOLD and real data of Columbia Object Image Library (COIL-20). Through these experiments, we have demonstrated the generalisation capabilities and robustness of object recognition and classification.
引用
收藏
页码：851 / 854
页数：4
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