Review of Target Detection Algorithms

Authors

  • Xu Zhou
  • Guojun Lin

DOI:

https://doi.org/10.54097/fcis.v4i3.10736

Keywords:

Object Detection, Deep Learning, Computer Vision

Abstract

Object detection is a popular direction of computer vision and digital image processing, which is widely used in robot navigation, intelligent video surveillance, industrial detection, aerospace and other fields, using computer vision to reduce human capital consumption has important practical significance. Because of the wide application of deep learning, the algorithm of target detection has been developed rapidly. This paper mainly introduces the traditional target detection algorithm and two kinds of target detection algorithm based on depth learning and the data set commonly used in target detection.

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References

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Published

31-07-2023

Issue

Section

Articles

How to Cite

Zhou, X., & Lin, G. (2023). Review of Target Detection Algorithms. Frontiers in Computing and Intelligent Systems, 4(3), 17-19. https://doi.org/10.54097/fcis.v4i3.10736