Using SVM to avoid humans: A case of a small autonomous mobile robot in an office

Emi Matsumoto, Michèle Sebag, Einoshin Suzuki

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

In this paper we construct a small, low-cost, autonomous mobile robot that avoids humans in an office. It applies an SVM classifier to each of 16 regions of interest in each picture taken by its camera mounted toward the ceiling. Experiments with 1 and 2 subjects with 3 kinds of velocities show encouraging results.

Original languageEnglish
Title of host publicationComputer and Information Sciences II - 26th International Symposium on Computer and Information Sciences, ISCIS 2011
Pages283-287
Number of pages5
DOIs
Publication statusPublished - 2012
Event26th Annual International Symposium on Computer and Information Science, ISCIS 2011 - London, United Kingdom
Duration: Sep 26 2011Sep 28 2011

Other

Other26th Annual International Symposium on Computer and Information Science, ISCIS 2011
CountryUnited Kingdom
CityLondon
Period9/26/119/28/11

Fingerprint

Ceilings
Mobile robots
Classifiers
Cameras
Costs
Experiments

All Science Journal Classification (ASJC) codes

  • Computer Science (miscellaneous)
  • Information Systems

Cite this

Matsumoto, E., Sebag, M., & Suzuki, E. (2012). Using SVM to avoid humans: A case of a small autonomous mobile robot in an office. In Computer and Information Sciences II - 26th International Symposium on Computer and Information Sciences, ISCIS 2011 (pp. 283-287) https://doi.org/10.1007/978-1-4471-2155-8-36

Using SVM to avoid humans : A case of a small autonomous mobile robot in an office. / Matsumoto, Emi; Sebag, Michèle; Suzuki, Einoshin.

Computer and Information Sciences II - 26th International Symposium on Computer and Information Sciences, ISCIS 2011. 2012. p. 283-287.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Matsumoto, E, Sebag, M & Suzuki, E 2012, Using SVM to avoid humans: A case of a small autonomous mobile robot in an office. in Computer and Information Sciences II - 26th International Symposium on Computer and Information Sciences, ISCIS 2011. pp. 283-287, 26th Annual International Symposium on Computer and Information Science, ISCIS 2011, London, United Kingdom, 9/26/11. https://doi.org/10.1007/978-1-4471-2155-8-36
Matsumoto E, Sebag M, Suzuki E. Using SVM to avoid humans: A case of a small autonomous mobile robot in an office. In Computer and Information Sciences II - 26th International Symposium on Computer and Information Sciences, ISCIS 2011. 2012. p. 283-287 https://doi.org/10.1007/978-1-4471-2155-8-36
Matsumoto, Emi ; Sebag, Michèle ; Suzuki, Einoshin. / Using SVM to avoid humans : A case of a small autonomous mobile robot in an office. Computer and Information Sciences II - 26th International Symposium on Computer and Information Sciences, ISCIS 2011. 2012. pp. 283-287
@inproceedings{10502ae9c3374a23bea3fa9952190bbf,
title = "Using SVM to avoid humans: A case of a small autonomous mobile robot in an office",
abstract = "In this paper we construct a small, low-cost, autonomous mobile robot that avoids humans in an office. It applies an SVM classifier to each of 16 regions of interest in each picture taken by its camera mounted toward the ceiling. Experiments with 1 and 2 subjects with 3 kinds of velocities show encouraging results.",
author = "Emi Matsumoto and Mich{\`e}le Sebag and Einoshin Suzuki",
year = "2012",
doi = "10.1007/978-1-4471-2155-8-36",
language = "English",
pages = "283--287",
booktitle = "Computer and Information Sciences II - 26th International Symposium on Computer and Information Sciences, ISCIS 2011",

}

TY - GEN

T1 - Using SVM to avoid humans

T2 - A case of a small autonomous mobile robot in an office

AU - Matsumoto, Emi

AU - Sebag, Michèle

AU - Suzuki, Einoshin

PY - 2012

Y1 - 2012

N2 - In this paper we construct a small, low-cost, autonomous mobile robot that avoids humans in an office. It applies an SVM classifier to each of 16 regions of interest in each picture taken by its camera mounted toward the ceiling. Experiments with 1 and 2 subjects with 3 kinds of velocities show encouraging results.

AB - In this paper we construct a small, low-cost, autonomous mobile robot that avoids humans in an office. It applies an SVM classifier to each of 16 regions of interest in each picture taken by its camera mounted toward the ceiling. Experiments with 1 and 2 subjects with 3 kinds of velocities show encouraging results.

UR - http://www.scopus.com/inward/record.url?scp=84868035904&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84868035904&partnerID=8YFLogxK

U2 - 10.1007/978-1-4471-2155-8-36

DO - 10.1007/978-1-4471-2155-8-36

M3 - Conference contribution

AN - SCOPUS:84868035904

SP - 283

EP - 287

BT - Computer and Information Sciences II - 26th International Symposium on Computer and Information Sciences, ISCIS 2011

ER -