An Efficient Dynamic Background Subtraction Algorithm for Vehicle Detection Tracking System

  • Rashmita Khilar
  • Sarat Kumar SahooEmail author
  • C. Rani
  • Prabhakar Karthikeyan Shanmugam
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1048)


Background subtraction is an important role in video surveillance system in ITS, yet in complex scenes, it is still a challenging problem; hence, it is required to model the background before subtraction. Various illumination changes and dynamic backgrounds form the major key aspects for background modeling. In this paper, an algorithm (TCO-DBS) is proposed to develop an efficient background subtraction framework to solve the above problems. Here, texture and color features are considered for background modeling, thereby separating the foreground and background video frames. The texture features mainly depend on scale values used, i.e., number of neighboring pixels used for describing local texture description. Among this, local binary pattern (LBP) is mostly used in computer vision applications. LBP texture features along with color feature give a promising result when compared to other methods.


Background modeling Texture Color LBP TCO-DBS 


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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • Rashmita Khilar
    • 1
  • Sarat Kumar Sahoo
    • 2
    Email author
  • C. Rani
    • 3
  • Prabhakar Karthikeyan Shanmugam
    • 3
  1. 1.Panimalar Engineering CollegeChennaiIndia
  2. 2.Parala Maharaja Engineering CollegeLuhajharaIndia
  3. 3.School of Electrical EngineeringVIT UniversityVelloreIndia

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