Title :
Notice of Retraction
Algorithm on moving targets classification based on fuzzy clustering
Author :
Ruili Zeng ; Yunkui Xiao ; Gang Li ; Lingling Zhang ; Guoben He
Author_Institution :
Dept. of Automobile Eng., Acad. of Mil. Transp., Tianjin, China
Abstract :
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
In video surveillance system, in order to classify vehicles, every region of moving target can be labeled by single linking region growing algorithm, so the area and degree of shape complex can be gotten for every target, and can be used as input eigenvalues, then fuzzy clustering algorithm is adopted to classify moving targets. In this course, euclid distance with weights is used as criterion, and iteration method is built to classify vehicles. Experimental results show this method has a high classification rate in recognizing vehicle, and this algorithm is simple.
Keywords :
image classification; pattern clustering; video surveillance; eigenvalue; euclid distance; fuzzy clustering algorithm; iteration method; moving target classification; single linking region growing algorithm; vehicle classification; vehicle recognition; video surveillance system; Gallium nitride; Target tracking; fuzzy clustering; intelligent transportation system; target classification; video surveillance;
Conference_Titel :
Computer Science and Information Technology (ICCSIT), 2010 3rd IEEE International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-5537-9
DOI :
10.1109/ICCSIT.2010.5563872
