Notice of Violation of IEEE Publication Principles: Mobile vision robot using the SIFT algorithm for object recognition

Notice of Violation of IEEE Publication Principles

"Mobile Vision Robot Using the SIFT Algorithm for Object Recognition"
by Jin-Suk Kang, Joongnam Jeon, Youngeun An, and Jongan Park
in the Proceedings of the 2009 International Conference on Ultra Modern Telecommunications and Workshops (ICUMT) Oct 2009

After careful and considered review of the content and authorship of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE's Publication Principles.

This paper contains significant portions of original text from the paper cited below. The original text was copied with insufficient attribution (including appropriate references to the original author(s) and/or paper title) and without permission.

Due to the nature of this violation, reasonable effort should be made to remove all past references to this paper, and future references should be made to the following article:

"Leader/Follower Behaviour Using the SIFT Algorithm for Object Recognition"
by Jared Giesbrecht
in Technical Memorandum, Defense R&D Canada, Suffield TM 2006-108 2006


This paper presents an application of vision-based object recognition to create in mobile robots. A system is developed which makes use of the Scale Invariant Feature Transform (SIFT) algorithm to recognize a leader robot or human. The follower robot then uses PID control to track the leader's movements while maintaining a fixed following distance. These experiments proved the SIFT algorithm as a viable method of creating leader/follower behavior, and can serve as a proof of concept for more complex convoying operations using machine-vision based leader detection.