Title :
One for Vehicle Detection and Adaptive Background Updating Algorithm
Author_Institution :
Key Lab. of Electron. Eng., Hei Long Jiang Univ., Harbin, China
Abstract :
This article discusses the background updating method. Background image is changing as man-made, light interference problems. Background modeling is a detailed analysis. Background updating of existing algorithm is improved. While the actual vehicles were tested using this method, the test results were quite good. The process is stable.
Keywords :
image sequences; object detection; adaptive background updating algorithm; background modeling; image sequences; man-made light interference problems; moving object extraction; vehicle detection; Classification algorithms; Equations; Kalman filters; Mathematical model; Pixel; Signal processing algorithms; Vehicles; background extraction; background modeling; backgroundupdating; vehicle;
Conference_Titel :
Pervasive Computing Signal Processing and Applications (PCSPA), 2010 First International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4244-8043-2
Electronic_ISBN :
978-0-7695-4180-8
DOI :
10.1109/PCSPA.2010.273
