Comparing Various Tracking Algorithms in OpenCV

EasyChair Preprint 5422

Abstract

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

@booklet{EasyChair:5422,
  author    = {Akshat Mittal and Suryansh Singh and Manas Gupta},
  title     = {Comparing Various Tracking Algorithms in OpenCV},
  howpublished = {EasyChair Preprint 5422},
  year      = {EasyChair, 2021}}