Search Paper
  • Home
  • Login
  • Categories
  • Post URL
  • Academic Resources
  • Contact Us

 

VEHICLE DETECTION AND COUNT IN THE CAPTURED STREAM VIDEO USING OPENCV IN MACHINE LEARNING

google+
Views: 115                 

Author :  Md.Milon Rana1, Tajkuruna Akter Tithy1 and Md. Mehedi Hasan2

Affiliation :  Student

Country :  Bangladesh

Category :  Computer Science & Information Technology

Volume, Issue, Month, Year :  Volume 12, Number 3, June, 2022

Abstract :


The technology of detection within the captured video has implementation within the sort of fields. This emerging technology when implemented over the real-time video feeds could even be beneficial. The supreme good thing about vehicle detection within the real-time streaming video feed is to trace vehicles in busy roads or Bridges like Padma or Jamuna Bridge. An accidents occurred anywhere which may rather be detected. Vehicle detection also called computer vision beholding, basically the scientific methods and ways of how machines see instead of human eyes. This chapter aims to explore the prevailing challenging issue within the planet of unsupervised surveillance and security, Helps traffic police, Maintaining records and Traffic surveillance control. The detection of vehicles is implemented with enhanced algorithms and machine learning libraries like OpenCV, TensorFlow, and others. The varied approaches are accustomed identify and track the particular object through the trained model from the captured video.

Keyword :  Image classifications, Video tracking, Information analysis, Vehicle detection, Vehicle count

Journal/ Proceedings Name :  Computer Science & Engineering: An International Journal (CSEIJ)

URL :  https://www.cseij.org/papers/v12n3/12322cseij01.pdf

User Name : milon
Posted 04-08-2022 on 20:07:30 AEDT



Related Research Work

  • Understanding The Worldwide Paths Towards The Creation Of True Intelligence For Machines
  • An Advantageous And User-friendly Mobile Program To Benefit Students In Seeking Their Suitable Colleges Through The Use Of Web Scraping, Machine Learning, And Frontend Design
  • An Overview Of Copy Move Forgery Detection Approaches
  • Scaled Quantization For The Vision Transformer

About Us | Post Cfp | Share URL Main | Share URL category | Post URL
All Rights Reserved @ Call for Papers - Conference & Journals