Journal of the Semiconductor & Display Technology (반도체디스플레이기술학회지)

The Korean Society Of Semiconductor & Display Technology (한국반도체디스플레이기술학회)
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Implementation of Moving Object Recognition based on Deep Learning

딥러닝을 통한 움직이는 객체 검출 알고리즘 구현

  • Lee, YuKyong (Dept. of Smart Phone Media, BaekSeok Culture University) ;
  • Lee, Yong-Hwan (Dept. of Digital Contents, Wonkwang University)
  • 이유경 (백석문화대학교 스마트폰미디어학부) ;
  • 이용환 (원광대학교 디지털콘텐츠공학과)
  • Received : 2018.06.19
  • Accepted : 2018.06.21
  • Published : 2018.06.30
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Abstract

Object detection and tracking is an exciting and interesting research area in the field of computer vision, and its technologies have been widely used in various application systems such as surveillance, military, and augmented reality. This paper proposes and implements a novel and more robust object recognition and tracking system to localize and track multiple objects from input images, which estimates target state using the likelihoods obtained from multiple CNNs. As the experimental result, the proposed algorithm is effective to handle multi-modal target appearances and other exceptions.

Keywords

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