The Automated Vehicle Detection of Highway Traffic Images by Differential Morphological Profile

Clicks: 150
ID: 117563
2014
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Abstract
Vehicle detection has been the critical part of the traffic surveillance system for many years. However, vehicle detection method is still challenging. In this paper, differential morphology closing profile is used to extract the vehicle automatically from the traffic image. Along with closing profile, some addition operation has been applied as a part of the algorithm to get the high detection and quality rate. Result demonstrated that the novel method has an excellent detection and quality percentage. We also have compared our automated detection method with other traditional image processing based methods and the results indicate that our proposed method provides better results than traditional image processing based methods.
Reference Key
sharma2014journalthe Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Bharti Sharma;Vinod Kumar Katiyar;Arvind Kumar Gupta;Akansha Singh;Bharti Sharma;Vinod Kumar Katiyar;Arvind Kumar Gupta;Akansha Singh;Bharti Sharma;Vinod Kumar Katiyar;Arvind Kumar Gupta;Akansha Singh;
Journal journal of transportation technologies
Year 2014
DOI
doi:10.4236/jtts.2014.42015
URL
https://dx.doi.org/10.4236/jtts.2014.42015
Keywords
vehicle detection average filter differential morphology closing profile structure element thresholding

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