Volume 8, No. 4, July 2019

General Information

  • ISSN: 2278-0149 (Online)
  • Abbreviated Title:  Int. J. Mech. Eng. Robot. Res.  
  • Editor-in-Chief: ​Prof Richard (Chunhui) Yang, Western Sydney University, Australia
  • Associate Editor: Prof. B.V. Appa Rao, Andhra University; Prof. Ian R. McAndrew, Capitol Technology University, USA
  • Managing Editor: Murali Krishna. B
  • DOI: 10.18178/ijmerr
  • Abstracting/Indexing: Scopus (since 2016), CNKI, Google Scholar, Crossref, etc.
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Object Detection without Color Feature: Case Study Autonomous Robot

Deshinta Arrova Dewi 1, Elankovan Sundararajan 1, Anton Satria Prabuwono 2, and Lau Meng Cheng 3
1. Faculty of Information Science and Technology, the National University of Malaysia, Malaysia
2. King Abdulaziz University, Saudi Arabia
3. University of Manitoba, Winnipeg, Canada

Abstract—Object detection is a major area of concern and such method has been extensively used in numerous applications whereas the success of using color information has been continuously reported with less attention given to several issues, such as the lengthy process to calibrate color, color fading, and others. Nonetheless, the need of such application that does not necessarily rely on color information has seen a hike due to the mentioned issues. In fact, some of the desirable solutions are those that take less computation time, as well as those that provide higher accuracy and scalability for a large number of objects in a scene. One application that requires such solution is in a game playing by autonomous robot. This paper suggests a novel patch carried by autonomous robots with relevant detection algorithm using contour detection and geometric moment without using the color feature.

Index Terms— contour detection, image processing, object detection, without color feature

Cite: Deshinta Arrova Dewi, Elankovan Sundararajan, Anton Satria Prabuwono, and Lau Meng Cheng, "Object Detection without Color Feature: Case Study Autonomous Robot" International Journal of Mechanical Engineering and Robotics Research, Vol. 8, No. 4, pp. 646-650, July 2019. DOI: 10.18178/ijmerr.8.4.646-650