Journal of Korea Multimedia Society (한국멀티미디어학회논문지)

Korea Multimedia Society (한국멀티미디어학회)
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People Detection Algorithm in the Beach

해변에서의 사람 검출 알고리즘

  • Choi, Yu Jung (Dept. of Computer and Communication Eng., Kangwon National University) ;
  • Kim, Yoon (Dept. of Computer and Communication Eng., Kangwon National University)
  • Received : 2018.02.01
  • Accepted : 2018.04.26
  • Published : 2018.05.31
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Abstract

Recently, object detection is a critical function for any system that uses computer vision and is widely used in various fields such as video surveillance and self-driving cars. However, the conventional methods can not detect the objects clearly because of the dynamic background change in the beach. In this paper, we propose a new technique to detect humans correctly in the dynamic videos like shores. A new background modeling method that combines spatial GMM (Gaussian Mixture Model) and temporal GMM is proposed to make more correct background image. Also, the proposed method improve the accuracy of people detection by using SVM (Support Vector Machine) to classify people from the objects and KCF (Kernelized Correlation Filter) Tracker to track people continuously in the complicated environment. The experimental result shows that our method can work well for detection and tracking of objects in videos containing dynamic factors and situations.

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References

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