방송공학회논문지 (Journal of Broadcast Engineering)

  • 제12권3호
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  • Pages.289-292
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  • 2007
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  • 1226-7953(pISSN)
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  • 2287-9137(eISSN)
한국방송∙미디어공학회 (The Korean Institute of Broadcast and Media Engineers)
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Background Initialization by Spatiotemporal Similarity

  • 박구만 (서울산업대학교 공과대학 매체공학과)
  • Park, Goo-Man (Department of Media Engineering, Seoul National University of Technology)
  • 발행 : 2007.05.29
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초록

A background initialization algorithm based on the spatiotemporal similarity measure in a motion tracking system is proposed. From the accumulated difference between the base frame and the other frames in a subinterval, the regions affected by moving objects are located. The median is applied over the subsequence in the subinterval in which co-located regions share the similarity. The outputs from each subinterval are filtered by second stage median filter. The proposed method showed good results even in the busy and crowded sequences where the real background does not exit.

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참고문헌

  1. Hanzi Wang and David Suter, 'Background Initialization with A New Robust Statistical Approach,' Proceedings of 2nd Joint IEEE International Workshop on VS-PETS,pp.153-159, October, 2005
  2. D. Gutchess, et al., 'A Background Model Initialization Algorithm for Video Surveillance,' Proceedings of Eighth IEEE International Conference on Computer Vision, 2001, ICCV 2001, Vol.l, pp.733-740, July, 2001
  3. W. Long and Y.H. Yang, 'Stationary Background Generation: An Alternative to the Difference of Two Images,' Pattern Recognition, vol.23, no.12, pp.1351-1359, 1990 https://doi.org/10.1016/0031-3203(90)90081-U
  4. C. Stauffer, W.E.L. Grimson, 'Adaptive Background Mixture Models for Real-time Tracking,'Proc.IEEE Conference on Computer Vision & Pattern Recognition, vol.2, pp.246-252, June, 1999

피인용 문헌

  1. Extensive Benchmark and Survey of Modeling Methods for Scene Background Initialization vol.26, pp.11, 2017, https://doi.org/10.1109/TIP.2017.2728181