Title :
An enhanced light adaptability algorithm on dynamic background reconstruction
Author :
Liu, Shuan ; Hao, Ningbo
Author_Institution :
Dept. of Comput. Sci., Huanghuai Univ., Zhumadian, China
Abstract :
Slow change in light intensity will record on the image. The selection timing on sequence image samples and the method that how to reconstruct the background have very important impacts on the accuracy of dynamic background reconstruction. As more complexity of urban road junction traffic information, the existing background reconstruction algorithms have some shortcomings. We present a dynamic background reconstruction algorithm on enhanced light adaptability. It effectively reduces background reconstruction errors caused by the slow change of light intensity. Experimental results show the algorithm is simple, real strong, and reliable, have strong practical value.
Keywords :
image reconstruction; image sequences; road traffic; traffic information systems; dynamic background reconstruction algorithm; enhanced light adaptability algorithm; light intensity; sequence image samples; urban road junction traffic information complexity; Heuristic algorithms; Image reconstruction; Junctions; Pixel; Real time systems; Roads; Signal processing algorithms;
Conference_Titel :
Intelligent Control and Information Processing (ICICIP), 2010 International Conference on
Conference_Location :
Dalian
Print_ISBN :
978-1-4244-7047-1
DOI :
10.1109/ICICIP.2010.5564251