Deep SORT Related Studies

Authors

  • Abdul Majid Department of Computer Science and Technology, Faculty of Information Science and Engineering, Ocean University of China Author
  • Qinbo Department of Computer Science and Technology, Faculty of Information Science and Engineering, Ocean University of China Author
  • Saba Brahmani Department of Computer Science and Technology, Faculty of Information Science and Engineering, Ocean University of China Author

DOI:

https://doi.org/10.32628/CSEIT2410230

Keywords:

Object Detection, Deep Learning, Object Tracking, Matching And Recognition, Simple Real Time Tracker

Abstract

Computer vision is the field of computer science in which computers are made capable to see and recognize like human being. Deep learning is using multiple layers for the purpose of understanding and recognizing various objects. Deep Simple Real Time Tracker is the area in which the objects are tracked in real time from multiple images and videos. Many researchers have contributed to the field and various algorithms have been proposed. The current study presents the deep SORT related studies in which the various algorithms have been presented for the sake of understanding and starting point for the researchers interested in computer vision and deep sorting. The single shot detection, feature extraction, have been explained along with the research conducted. Feature selection and extraction, matching recognition, object tracking through frames have been appended to the current study.

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Author Biographies

  • Abdul Majid, Department of Computer Science and Technology, Faculty of Information Science and Engineering, Ocean University of China

    Abdul Majid Master's Student in faculty of information science and engineering at ocean university of china 

  • Qinbo, Department of Computer Science and Technology, Faculty of Information Science and Engineering, Ocean University of China

    Dr. Liu Peishun Associate Professor in the faculty of information science and engineering at Ocean university of china.

  • Saba Brahmani, Department of Computer Science and Technology, Faculty of Information Science and Engineering, Ocean University of China

    Muhammad Owais Khan Master's Student in faculty of information science science and engineering at Ocean university of china.

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Published

19-04-2024

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