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DOI: 10.14569/IJACSA.2019.0100622
PDF

Performance Comparison of Detection, Recognition and Tracking Rates of the different Algorithms

Author 1: Meghana Kavuri
Author 2: Kolla Bhanu Prakash

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 10 Issue 6, 2019.

  • Abstract and Keywords
  • How to Cite this Article
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Abstract: This article discusses the approach of human detection and tracking in a homogeneous domain using surveillance cameras. This is a vast area in which significant research has been taking place from more than a decade and the paper is about detection of a human and its face in a given video and stores Local Binary Pattern Histogram (LBPH) features of the detected faces. Once a human is detected in the video, that person will be given a label and him/her is tracked in different video taken by multiple cameras by the application of machine learning and image processing with the help of OpenCV. Many algorithms were used for detecting, recognizing and tracking till date, thus in this paper, main thing is the comparison of the proposed algorithm with some among the state-of-the-art algorithms. And also shows how the proposed algorithm is better than the other chosen algorithms.

Keywords: Detection; recognition; tracking; local binary pattern histogram; Kalman filter; particle filter

Meghana Kavuri and Kolla Bhanu Prakash, “Performance Comparison of Detection, Recognition and Tracking Rates of the different Algorithms” International Journal of Advanced Computer Science and Applications(IJACSA), 10(6), 2019. http://dx.doi.org/10.14569/IJACSA.2019.0100622

@article{Kavuri2019,
title = {Performance Comparison of Detection, Recognition and Tracking Rates of the different Algorithms},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2019.0100622},
url = {http://dx.doi.org/10.14569/IJACSA.2019.0100622},
year = {2019},
publisher = {The Science and Information Organization},
volume = {10},
number = {6},
author = {Meghana Kavuri and Kolla Bhanu Prakash}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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