Ontological representation of vision-based 3D spatio-temporal context for mobile robot applications

G.H. Lim; J. Chung; G.G. Ryu; J.B. Kim; S.H. Lee; S. Lee; I.H. Suh; J.H. Choi; Y.T. Park

Ontological representation of vision-based 3D spatio-temporal context for mobile robot applications

G.H. Lim, J. Chung, G.G. Ryu, J.B. Kim, S.H. Lee, S. Lee, I.H. Suh, J.H. Choi, Y.T. Park

Machine Learning and Robotics

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

In this paper, we propose an ontology-base context model that consists of high level context as well as primitive spatial and temporal context. Moreover reasoning tools are used to find out not only simple contextual information such as object location, movement and distance but also hidden contextual information such as some objects disappeared by moving behind bigger objects. Also we use axiomatic rules for resolving uncertainties which might be caused by the mismatches of 3D SIFT key points. Some practical examples will be provided to show the validities of our proposed ontology-based context model.

Original language	English
Title of host publication	Proceedings of the 12th International Symposium on Artificial Life and Robotis, AROB 12th'07
Pages	478-483
Number of pages	6
Publication status	Published - 2007
Event	12th International Symposium on Artificial Life and Robotics, - Oita, Japan Duration: 25 Jan 2007 → 27 Jan 2007 Conference number: 82299

Conference

Conference	12th International Symposium on Artificial Life and Robotics,
Country/Territory	Japan
City	Oita
Period	25/01/07 → 27/01/07

Cite this

@inproceedings{758fa2efce0142918657913f79786d48,

title = "Ontological representation of vision-based 3D spatio-temporal context for mobile robot applications",

abstract = "In this paper, we propose an ontology-base context model that consists of high level context as well as primitive spatial and temporal context. Moreover reasoning tools are used to find out not only simple contextual information such as object location, movement and distance but also hidden contextual information such as some objects disappeared by moving behind bigger objects. Also we use axiomatic rules for resolving uncertainties which might be caused by the mismatches of 3D SIFT key points. Some practical examples will be provided to show the validities of our proposed ontology-based context model. ",

author = "G.H. Lim and J. Chung and G.G. Ryu and J.B. Kim and S.H. Lee and S. Lee and I.H. Suh and J.H. Choi and Y.T. Park",

year = "2007",

language = "English",

pages = "478--483",

booktitle = "Proceedings of the 12th International Symposium on Artificial Life and Robotis, AROB 12th'07",

note = "12th International Symposium on Artificial Life and Robotics, ; Conference date: 25-01-2007 Through 27-01-2007",

}

Lim, GH, Chung, J, Ryu, GG, Kim, JB, Lee, SH, Lee, S, Suh, IH, Choi, JH & Park, YT 2007, Ontological representation of vision-based 3D spatio-temporal context for mobile robot applications. in Proceedings of the 12th International Symposium on Artificial Life and Robotis, AROB 12th'07. pp. 478-483, 12th International Symposium on Artificial Life and Robotics, Oita, Japan, 25/01/07.

TY - GEN

T1 - Ontological representation of vision-based 3D spatio-temporal context for mobile robot applications

AU - Lim, G.H.

AU - Chung, J.

AU - Ryu, G.G.

AU - Kim, J.B.

AU - Lee, S.H.

AU - Lee, S.

AU - Suh, I.H.

AU - Choi, J.H.

AU - Park, Y.T.

N1 - Conference code: 82299

PY - 2007

Y1 - 2007

N2 - In this paper, we propose an ontology-base context model that consists of high level context as well as primitive spatial and temporal context. Moreover reasoning tools are used to find out not only simple contextual information such as object location, movement and distance but also hidden contextual information such as some objects disappeared by moving behind bigger objects. Also we use axiomatic rules for resolving uncertainties which might be caused by the mismatches of 3D SIFT key points. Some practical examples will be provided to show the validities of our proposed ontology-based context model.

AB - In this paper, we propose an ontology-base context model that consists of high level context as well as primitive spatial and temporal context. Moreover reasoning tools are used to find out not only simple contextual information such as object location, movement and distance but also hidden contextual information such as some objects disappeared by moving behind bigger objects. Also we use axiomatic rules for resolving uncertainties which might be caused by the mismatches of 3D SIFT key points. Some practical examples will be provided to show the validities of our proposed ontology-based context model.

UR - http://www.scopus.com/inward/record.url?eid=2-s2.0-78549295892&partnerID=MN8TOARS

M3 - Conference contribution

SP - 478

EP - 483

BT - Proceedings of the 12th International Symposium on Artificial Life and Robotis, AROB 12th'07

T2 - 12th International Symposium on Artificial Life and Robotics,

Y2 - 25 January 2007 through 27 January 2007

ER -

Ontological representation of vision-based 3D spatio-temporal context for mobile robot applications

Abstract

Conference

Other files and links

Fingerprint

Cite this