Title :
Notice of Retraction
Traffic video image segmentation based on mixture of Gaussian model
Author :
Long-hui Guo ; Liang He ; Huai-zhong Li
Author_Institution :
Sch. of Phys. & Electron. Inf. Eng., Wenzhou Univ., Wenzhou, 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.
Vehicle Segmentation algorithm make a effective segmentation as there is a certain contrast between foreground and background, in order to deal with effective segmentation problem,in the case of the low contrast between foreground and background, cased by inappropriate camera parameters set or cloudy day. Then present a method simulating the gray level value in area of interesting changes by using of mixture of Gaussian modeLand realizing vehicle segmentation, experimental results show that the proposed method have achieved the expected goal.
Keywords :
Gaussian processes; image segmentation; traffic engineering computing; video cameras; video surveillance; Gaussian mixture model; background; camera; foreground; gray level value; image segmentation; traffic video segmentation; Cameras; Classification algorithms; Gaussian distribution; Image edge detection; Image segmentation; Pixel; Vehicles; area of interesting; background abstraction; image segmentation; mixture of gaussian model;
Conference_Titel :
Electric Information and Control Engineering (ICEICE), 2011 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-8036-4
DOI :
10.1109/ICEICE.2011.5777894
