DocumentCode
2556419
Title
Notice of Violation of IEEE Publication Principles
Mobile vision robot using the SIFT algorithm for object recognition
Author
Jin-Suk Kang ; Joongnam Jeon ; Youngeun An ; Jongan Park
Author_Institution
Sch. of Electr. & Comput. Eng., Chungbuk Nat. Univ., Cheongju, South Korea
fYear
2009
fDate
12-14 Oct. 2009
Firstpage
1
Lastpage
7
Abstract
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.
"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.
Keywords
mobile robots; object detection; object recognition; robot vision; three-term control; PID control; SIFT algorithm; leader detection; leader-follower behavior; machine vision; mobile vision robot; object recognition; scale invariant feature transform; Application software; Cameras; Computer vision; Humans; Mobile robots; Notice of Violation; Object recognition; Robot control; Robot vision systems; Sonar detection; Three-term control; Leader/Follower Behaviour; Mobile Robot; PID Control; Scale Invariant Feature Transform(SIFT);
fLanguage
English
Publisher
ieee
Conference_Titel
Ultra Modern Telecommunications & Workshops, 2009. ICUMT '09. International Conference on
Conference_Location
St. Petersburg
Print_ISBN
978-1-4244-3942-3
Type
conf
DOI
10.1109/ICUMT.2009.5345336
Filename
5345336
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