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Comparing Various Tracking Algorithms in OpenCV

EasyChair Preprint no. 5422

8 pagesDate: April 29, 2021


Locating an item in consecutive frames of a video is known as object tracking. It is implemented by estimating the state of the concerned object present in the scene from previous information. Since the object has been tracked till the present frame, it's known how it has been moving. More simply, the parameters of the model are known. A motion model tells the  speed and direction of motion of the object from previous frames.

Keyphrases: comparison, CSRT, Feature classification, image difference, KCF, motion history, moving camera, Object motion, object tracking, OpenCV

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Akshat Mittal and Suryansh Singh and Manas Gupta},
  title = {Comparing Various Tracking Algorithms in OpenCV},
  howpublished = {EasyChair Preprint no. 5422},

  year = {EasyChair, 2021}}
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