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Detection and Recognition of Vehicle Using Principal Component Analysis

  • Kolandapalayam Shanmugam SelvanayakiEmail author
  • Rm. Somasundaram
  • J. Shyamala Devi
Conference paper
Part of the Lecture Notes in Computational Vision and Biomechanics book series (LNCVB, volume 30)

Abstract

The idea of detection of moving objects and the concept of classification of moving objects is considered to be the important part of research in video processing and in real-time applications for surveillance and tracking of vehicles. In scientific terms, image processing is said to be any form of signal processing, where the input is an image and the output of image processing may taken be either an image or a set of characteristics or parameters related to the image. The proposed work of the paper is to detect and classify vehicles in a given video. It consists of two modules, first one uses GLOH algorithm for feature extraction and feature reduction. The second module classifies the vehicle from an input video frame using PCA. The final result is obtained by integrating the above-said modules.

Keywords

Detection Classification Surveillance Tracking Extraction Reduction Video processing 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Kolandapalayam Shanmugam Selvanayaki
    • 1
    Email author
  • Rm. Somasundaram
    • 2
  • J. Shyamala Devi
    • 3
  1. 1.Department of Computer ScienceConcordia University, ChicagoRiver ForestUSA
  2. 2.Department of Computer Science & EngineeringSNS College of EngineeringCoimbatoreIndia
  3. 3.Department of Computer ScienceSRM UniversityChennaiIndia

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