Volume 12 Number 1 (Jan. 2017)
Home > Archive > 2017 > Volume 12 Number 1 (Jan. 2017) >
JCP 2017 Vol.12(1): 68-75 ISSN: 1796-203X
doi: 10.17706/jcp.12.1.68-75

Enhancing Object Detection by Using Probabilistic Spatial-Semantic Knowledge

Malgorzata Goldhoorn1, Ronny Hartanto2
1Department of Computer Science, Robotics Group, University of Bremen, 28359 Bremen, Germany.
2Faculty of Technology and Bionics, Rhine-Waal, University of Applied Sciences, 47533 Kleve, Germany.


Abstract—Autonomous mobile robots that act in human living environment and perform complex tasks there must be able to obtain relevant information from the surrounding and reason about this knowledge. The system’s ability to recognize objects and assign them semantic description is a vital capability for the robots in order to carry out such a complex task. Dealing with objects in the environment is not a trivial problem but rather a challenging one and detection systems relay only on information extracted from their noisy sensors are often not sufficient to recognize objects properly. Therefore, this paper presents a new approach for object recognition, in which probabilistic spatial-semantic knowledge is applied to improve the recognition result.

Index Terms—Object recognition, probabilistic methods, spatial reasoning, spatial relations.

[PDF]

Cite: Malgorzata Goldhoorn, Ronny Hartanto, "Enhancing Object Detection by Using Probabilistic Spatial-Semantic Knowledge," Journal of Computers vol. 12, no. 1, pp. 68-75, 2017.

General Information

ISSN: 1796-203X
Frequency: Monthly (2006-2014); Bimonthly (Since 2015)
Editor-in-Chief: Prof. Liansheng Tan
Executive Editor: Ms. Nina Lee
Abstracting/ Indexing: DBLP, EBSCO, DOAJ, ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat, CNKI,etc
E-mail: jcp@iap.org
  • Sep 26, 2017 News!

    Papers published in JCP Volume 12 have all been indexed by DBLP   [Click]

  • Sep 02, 2016 News!

    Vol 11, No 3 has been indexed by EI (Inspec)   [Click]

  • Sep 22, 2017 News!

    Vol 13, No 6 has been published with online version 11 papers are published in this issue after peer review   [Click]

  • Aug 14, 2017 News!

    Vol 13, No 5 has been published with online version   [Click]

  • Jun 21, 2017 News!

    Vol 13, No 4 has been published with online version   [Click]

  • Read more>>