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
相关论文
共 50 条
  • [1] Hidden Markov models vs syntactic modeling in object recognition
    Fred, ALN
    Marques, JS
    Jorge, PM
    INTERNATIONAL CONFERENCE ON IMAGE PROCESSING - PROCEEDINGS, VOL I, 1997, : 893 - 896
  • [2] Object trajectory-based activity classification and recognition using hidden Markov models
    Bashir, Faisal I.
    Khokhar, Ashfaq A.
    Schonfeld, Dan
    IEEE TRANSACTIONS ON IMAGE PROCESSING, 2007, 16 (07) : 1912 - 1919
  • [3] Activity recognition based on Hidden Markov Models
    Huang, Weiyao
    Zhang, Jun
    Liu, Zhijing
    KNOWLEDGE SCIENCE, ENGINEERING AND MANAGEMENT, 2007, 4798 : 532 - 537
  • [4] Multiview Object and View Sequence Recognition using Hidden Markov Models
    Nunez, Lorena
    Negrete, Marco
    Savage, Jesus
    Contreras, Luis
    Moctezuma, Miguel
    2022 IEEE 18TH INTERNATIONAL CONFERENCE ON AUTOMATION SCIENCE AND ENGINEERING (CASE), 2022, : 589 - 594
  • [5] Skull recognition based on Embedded Hidden Markov models
    Zhang, Yanfang
    Xu, Saicong
    Sun, Nongliang
    2008 7TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-23, 2008, : 1153 - 1158
  • [6] Human motion recognition based on hidden Markov models
    Xiong, Jing
    Liu, ZhiJing
    ADVANCES IN COMPUTATION AND INTELLIGENCE, PROCEEDINGS, 2007, 4683 : 464 - +
  • [7] Planar shape recognition based on hidden Markov models
    de Trazegnies, C
    Miguel, FJ
    Urdiales, C
    Bandera, A
    Sandoval, F
    ELECTRONICS LETTERS, 2001, 37 (24) : 1448 - 1449
  • [8] Search-space Sorting with Hidden Markov Models for Occluded Object Recognition
    Guerrero-Pena, F. A.
    Vasconcelos, G. C.
    2016 IEEE 8TH INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS (IS), 2016, : 47 - 52
  • [9] HIDDEN MARKOV MODELS IN SPEECH RECOGNITION
    Krajcovic, J.
    Hrncar, M.
    Muzikarova, E.
    ADVANCES IN ELECTRICAL AND ELECTRONIC ENGINEERING, 2008, 7 (1-2) : 250 - 252
  • [10] Hidden Markov Models for face recognition
    Nefian, AV
    Hayes, MH
    PROCEEDINGS OF THE 1998 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING, VOLS 1-6, 1998, : 2721 - 2724
12345