Computer Science ›› 2016, Vol. 43 ›› Issue (6): 294-297.doi: 10.11896/j.issn.1002-137X.2016.06.058

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Vehicle Detection Research Based on Adaptive SILTP Algorithm

LI Fei, ZHANG Xiao-hong, ZHAO Chen-qiu and YAN Meng   

  • Online:2018-12-01 Published:2018-12-01

Abstract: This paper presented an adaptive SILTP algorithm based on the SILTP algorithm to improve the efficiency of vehicle detection in complex background.The vehicle detection starts with a two-dimensional discrete wavelet trans-form for the image.The next steps of vehicle detection include extracting the vehicle images’ information texture with the adaptive SILTP algorithm,using Gauss mixture model for background modeling,and using the texture information of the new image to update background dynamically. Finally,moving vehicle is obtained by comparing with the background model.The results demonstrate that this detection algorithm can achieve high detection efficiency under a complex background ,and has strong adaptability.

Key words: Local texture characteristics,Background modeling,Vehicle detection,Adaptive SILTP algorithm

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