반도체디스플레이기술학회지 (Journal of the Semiconductor & Display Technology)

한국반도체디스플레이기술학회 (The Korean Society Of Semiconductor & Display Technology)
권호 표지

영상에서 다중 객체 추적을 위한 CNN 기반의 다중 객체 검출에 관한 연구

A Research of CNN-based Object Detection for Multiple Object Tracking in Image

  • 안효창 (극동대학교 에너지IT학과) ;
  • 이용환 (원광대학교 디지털콘텐츠공학과)
  • Ahn, Hyochang (Department of Energy IT Engineering, Far East University) ;
  • Lee, Yong-Hwan (Department of Digital Contents, Wonkwang University)
  • 투고 : 2019.09.17
  • 심사 : 2019.09.26
  • 발행 : 2019.09.30
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초록

Recently, video monitoring system technology has been rapidly developed to monitor and respond quickly to various situations. In particular, computer vision and related research are being actively carried out to track objects in the video. This paper proposes an efficient multiple objects detection method based on convolutional neural network (CNN) for multiple objects tracking. The results of the experiment show that multiple objects can be detected and tracked in the video in the proposed method, and that our method is also good performance in complex environments.

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참고문헌

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