Computer vision model’s application in the current system on object detection tasks

Feilian Huang

doi:10.54254/2755-2721/4/20230335

Research Article

Open access

Published on 30 May 2023

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Huang,F. (2023). Computer vision model’s application in the current system on object detection tasks. Applied and Computational Engineering,4,1-6.

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Computer vision model’s application in the current system on object detection tasks

Feilian Huang *^,1,

¹ Georgia Institute of Technology, North Ave NW, Atlanta, GA 30332

* Author to whom correspondence should be addressed.

https://doi.org/10.54254/2755-2721/4/20230335

Abstract

The implementation of object detection algorithms would be helpful to the various fields of the current time. When object detection is applied to the surveillance camera system, it will be more efficient to locate crimes or find lost kids. This paper will investigate the performance of different object detection algorithms in a real-world scenario. With experimentation, CenterNet++ outperforms YOLO and MaskRCNN, two traditional and classic object detection algorithms, on the MS COCO dataset, which concludes that CenterNet++ can ensure both accuracy and speed.

Keywords

Video Processing Systems, Computer Vision, Artificial Intelligence, Object Detection

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References

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Cite this article

Huang,F. (2023). Computer vision model’s application in the current system on object detection tasks. Applied and Computational Engineering,4,1-6.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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About volume

Volume title: Proceedings of the 3rd International Conference on Signal Processing and Machine Learning

Conference website: http://www.confspml.org

ISBN：978-1-915371-55-3(Print) / 978-1-915371-56-0(Online)

Conference date: 25 February 2023

Editor：Omer Burak Istanbullu

Series: Applied and Computational Engineering

Volume number: Vol.4

ISSN：2755-2721(Print) / 2755-273X(Online)

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