The Journal of the Korea institute of electronic communication sciences (한국전자통신학회논문지)

Korea Institute of Electronic Communication Science (한국전자통신학회)
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Object Detection and Tracking with Infrared Videos at Night-time

야간 적외선 카메라를 이용한 객체 검출 및 추적

  • Received : 2014.11.28
  • Accepted : 2015.02.09
  • Published : 2015.02.28
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Abstract

In this paper, it is proposed to detect and track pedestrian and analyse tracking performance with nighttime CCTV video. The detection is performed by a cascade classifier with Haar-like feature trained with Adaboost algorithm. Tracking pedestrian is performed by a particle filter. As results of experiments, it is introduced that efficient number of particles and the distributions are applied to track pedestrian at the night-time. Performance of detection and tracking is verified with nighttime CCTV video that is obtained at alleys etc.

본 논문에서는 야간 CCTV 영상을 활용하여 보행자를 검출하고 추적하는 방법을 제안하고 추적 성능을 분석한다. 유사 Haar 특징을 이용하여 Adaboost 알고리즘으로 학습하고 종속분류기로 객체를 검출한다. 파티클 필터를 활용하여 검출된 보행자를 추적한다. 야간 CCTV영상에 대하여 파티클 필터의 객체 추적에 효율적인 파티클 수와 분포를 실험을 통하여 제시하였다. 골목길 등에서 취득한 야간 CCTV영상에 대하여 검출과 추적성능을 검증하였다.

Keywords

References

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