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Deep Learning framework for intelligent surveillance video analytics

원문정보

초록

영어
Recently, in computer vision behavior recognition is an active research area that plays a significant role in smart cities for crime prevention and urban safety. However, without base knowledge of Artificial Intelligence (AI) designing an efficient model is very difficult because we need data and programing skills for implementing the system. To tackle this problem, we designed and implemented a system that allows a user having no professional knowledge to easily and conveniently create a deep learning model. The interface of this system consists of Data Selection, Model Training and Testing, and Model Parameter values according to domains and categories. In addition, we designed a function to check the test results for the model selected by the user. This system allows users to quickly and easily create and test models.

목차

Abstract
I. INTRODUCTION
II. RELATED RESEARCH
III. PROPOSED METHOD
A. Detailed Function Configuration
B. User Interface Configuration
IV. CONCLUSION
ACKNOWLEDGMENT
REFERENCES

저자

  • Su Min Lee [ Sejong University ]
  • Min Je Kim [ Sejong University ]
  • Khan Samee Ullah [ Sejong University ]
  • Khan Zulfiqar Ahmad [ Sejong University ]
  • Khan Noman [ Sejong University ]
  • Mi Young Lee [ Sejong University ]
  • Sung Wook Baik [ Sejong University ]

참고문헌

자료제공 : 네이버학술정보

    간행물 정보

    • 간행물
      한국차세대컴퓨팅학회 학술대회
    • 간기
      반년간
    • 수록기간
      2021~2025
    • 십진분류
      KDC 566 DDC 004