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Vehicle Theft Detection and Tracking Using Surveillance Video for the Modern Traffic Security Management System

  • Conference paper
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Information Security, Privacy and Digital Forensics (ICISPD 2022)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 1075))

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Abstract

The present paper is to demonstrate the identification of automobiles using an image, camera, or video clip by utilizing Python OpenCV. It is necessary to first download and then install OpenCV. The Python programming language is used for the development of the present system. This paper, focused on scenario analysis to detect and track the vehicles. Detailed instructions on how to do an analysis of video sequences obtained from an optical sensor in the paper on monitoring road sections were provided. These kinds of algorithms are able to identify road markers, count cars, and assess information about traffic flow. The proposed algorithm for vehicle recognition is built on top of an integrated platform of smart cameras, which is also utilized to test and validate the algorithm. The effectiveness of the algorithms and software has been shown via experimental testing. The findings demonstrate that the suggested algorithms make it possible to solve the problem in question in real-time and in a variety of observation settings, as was anticipated.

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Author information

Authors and Affiliations

  1. School of Cyber Security and Digital Forensic, National Forensic Sciences University, Tripura Campus, Agarthala, Tripura, India

    Charanarur Panem

  2. School of Cyber Security and Digital Forensic, National Forensic Sciences University, Goa Campus, Ponda, Goa, India

    Ashish Kamboj, Ashish Kamboj, Naveen Kumar Chaudhary & Lokesh Chouhan

Authors
  1. Charanarur Panem
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  2. Ashish Kamboj
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  3. Naveen Kumar Chaudhary
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  4. Lokesh Chouhan
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Corresponding author

Correspondence to Ashish Kamboj .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Sardar Vallabhbhai National Institute of Technology, Surat, India

    Sankita J. Patel

  2. School of Cyber Security and Digital Forensics, National Forensic Sciences University, Gujarat, India

    Naveen Kumar Chaudhary

  3. Department of Computer Science and Engineering, Sardar Vallabhbhai National Institute of Technology, Surat, India

    Bhavesh N. Gohil

  4. Florida International University, Miami, FL, USA

    S. S. Iyengar

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Panem, C., Kamboj, A., Chaudhary, N.K., Chouhan, L. (2024). Vehicle Theft Detection and Tracking Using Surveillance Video for the Modern Traffic Security Management System. In: Patel, S.J., Chaudhary, N.K., Gohil, B.N., Iyengar, S.S. (eds) Information Security, Privacy and Digital Forensics. ICISPD 2022. Lecture Notes in Electrical Engineering, vol 1075. Springer, Singapore. https://doi.org/10.1007/978-981-99-5091-1_26

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  • DOI: https://doi.org/10.1007/978-981-99-5091-1_26

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-99-5090-4

  • Online ISBN: 978-981-99-5091-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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