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  Published Paper Details:

  Paper Title

OBJECT TRACKING USING PYTHON

  Authors

  Kanduri Ashish,  Bairy Yeshwanth,  Lagadu Gopi Chand,  Naga Mallikarjuna

  Keywords

Measurements, Area, Gun detection, Area surveillance.

  Abstract


: OpenCV object tracking is a widely used technique in the field. A variety of object tracking-specific features are already incorporated into OpenCV. MediandFlow and MIL are some of the object trackers in OpenCV. Tracks the path taken by an object in a movie using an Object Tracking System. We're detecting objects in movies and webcam images with Python and the OPENCV module in this project. "Browse system videos" and "Start webcam video tracking" are two modules included in this application. Working with methods such as frame differencing, color-space transformation, background separation, optical flow, and a classifier based on the Haar cascade, the project entails implementing numerous object recognition and tracking techniques in video. These approaches include: 1. Besides these methods, a widely used and highly effective edge detection method is also used. Python is used for all of the implementations. The results are extensive, and they are thoroughly evaluated.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT22A6008

  Paper ID - 221090

  Page Number(s) - a59-a65

  Pubished in - Volume 10 | Issue 6 | June 2022

  DOI (Digital Object Identifier) -   

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

  E-ISSN Number - 2320-2882

  Cite this article

  Kanduri Ashish,  Bairy Yeshwanth,  Lagadu Gopi Chand,  Naga Mallikarjuna,   "OBJECT TRACKING USING PYTHON", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.10, Issue 6, pp.a59-a65, June 2022, Available at :http://www.ijcrt.org/papers/IJCRT22A6008.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: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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