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  Published Paper Details:

  Paper Title

HSV VALUE AND OPENCV BASED OBJECT TRACKER

  Authors

  Muntazir Hussain,  Dr. Gurinder

  Keywords

HSV, OpenCV, Object tracking, Video frames, GUI

  Abstract


This research shows how colour and motion may be utilised to speed up the surveillance of things. Video tracing is a technique for detecting a huge vehicle over a long distance using a camera. The main goal of video tracking is to link objects in subsequent video frames. When objects move faster than the frames per second, maintaining connection might be difficult. Using Hue saturation space values and OpenCV in separate video frames, this article shows how to follow moving objects in real-time. We begin by finding the HSV value of the object to be tested, and then we understand the steps along. The tracking of the items was shown to be 90 percent accurate.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2203334

  Paper ID - 217039

  Page Number(s) - c864-c868

  Pubished in - Volume 10 | Issue 3 | March 2022

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Muntazir Hussain,  Dr. Gurinder,   "HSV VALUE AND OPENCV BASED OBJECT TRACKER", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.10, Issue 3, pp.c864-c868, March 2022, Available at :http://www.ijcrt.org/papers/IJCRT2203334.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


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ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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