Full-Text Search:
Home|About CNKI|User Service|中文
Add to Favorite Get Latest Update

Moving Vehicle Detection Algorithm Based on Video Processing

ZHANG Xiao-jian,XU Hui(College of Information Science and Technology,Nanjing Forestry University, Nanjing 210037,China)  
Vehicle detection technology is an important part of the modern intelligent transportation systems.The existing video detection algorithms can detect moving targets and have some adaptability to the environment,but the recognition rate and real-time of these algorithms are still to be improved.A novel algorithm for moving vehicle detection,which combined adaptive threshold background subtraction,based on Fisher criterion function method,and symmetrical differencing method,is presented in this paper.This method adopted surendra algorithm to obtain a background image,and then the target foreground is gained using background subtraction,which is combined with the symmetrical differencing to gain more accurate moving target region and update background real-time.The results of experiments proved that the presented algorithm runs rapidly and accurately and has some practical value.
Download(CAJ format) Download(PDF format)
CAJViewer7.0 supports all the CNKI file formats; AdobeReader only supports the PDF format.
©CNKI All Rights Reserved