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An Overview on Object Detection and Recognition

N. Raviteja1 , M. Lavanya2 , S. Sangeetha3

Section:Research Paper, Product Type: Journal Paper
Volume-8 , Issue-2 , Page no. 42-45, Feb-2020

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v8i2.4245

Online published on Feb 28, 2020

Copyright © N. Raviteja, M. Lavanya, S. Sangeetha . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: N. Raviteja, M. Lavanya, S. Sangeetha, “An Overview on Object Detection and Recognition,” International Journal of Computer Sciences and Engineering, Vol.8, Issue.2, pp.42-45, 2020.

MLA Style Citation: N. Raviteja, M. Lavanya, S. Sangeetha "An Overview on Object Detection and Recognition." International Journal of Computer Sciences and Engineering 8.2 (2020): 42-45.

APA Style Citation: N. Raviteja, M. Lavanya, S. Sangeetha, (2020). An Overview on Object Detection and Recognition. International Journal of Computer Sciences and Engineering, 8(2), 42-45.

BibTex Style Citation:
@article{Raviteja_2020,
author = {N. Raviteja, M. Lavanya, S. Sangeetha},
title = {An Overview on Object Detection and Recognition},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {2 2020},
volume = {8},
Issue = {2},
month = {2},
year = {2020},
issn = {2347-2693},
pages = {42-45},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=5029},
doi = {https://doi.org/10.26438/ijcse/v8i2.4245}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v8i2.4245}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=5029
TI - An Overview on Object Detection and Recognition
T2 - International Journal of Computer Sciences and Engineering
AU - N. Raviteja, M. Lavanya, S. Sangeetha
PY - 2020
DA - 2020/02/28
PB - IJCSE, Indore, INDIA
SP - 42-45
IS - 2
VL - 8
SN - 2347-2693
ER -

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Abstract

The main intent of enhancing the present system of object detection is to enhance its productivity and improve the detection accuracy. The method initializes a model in a way to store the background pixels and to compare each frame pixels with the same model background pixels. The intention is to separate the background pixels with the foreground moving pixels to improve the ability to detect the object in the foreground. An improved object detection algorithm based on “Gaussian mixture model” and “three-frame difference method”. This three-frame difference method uses a dynamic segmentation threshold and edge detection technology to solve the problem of illumination mutation and discontinuity of target edge.

Key-Words / Index Term

Gaussian mixture model, illumination mutation, object detection, pixels, three-frame difference method, dynamic segmentation, edge detection technology

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