Shadow removal for background subtraction using illumination invariant measures

Chulhee Lee, Sangwook Lee, Jiheon Ok, Jaeho Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, we propose methods for shadow removal in static background environment. Accurate background subtraction is essential to detect and track various objects. Shadow and objects similar in color are major problems in background subtraction and tracking. In order to address these problems, we propose shadow removal method for background subtraction using illumination invariant measures. First, we computed a reference background image and the illumination invariant measures were applied to the reference background image and an input image. We compared the proposed method with some existing background subtraction methods. The experimental results showed that the proposed method produced more accurate results.

Original languageEnglish
Title of host publicationProceedings - 4th International Conference on Intelligent Systems, Modelling and Simulation, ISMS 2013
Pages237-239
Number of pages3
DOIs
Publication statusPublished - 2013 May 20
Event4th International Conference on Intelligent Systems, Modelling and Simulation, ISMS 2013 - Bangkok, Thailand
Duration: 2013 Jan 292013 Jan 31

Publication series

NameProceedings - International Conference on Intelligent Systems, Modelling and Simulation, ISMS
ISSN (Print)2166-0662
ISSN (Electronic)2166-0670

Other

Other4th International Conference on Intelligent Systems, Modelling and Simulation, ISMS 2013
CountryThailand
CityBangkok
Period13/1/2913/1/31

Fingerprint

Background Subtraction
Invariant Measure
Illumination
Lighting
Color
Experimental Results
Background

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Software
  • Modelling and Simulation
  • Theoretical Computer Science

Cite this

Lee, C., Lee, S., Ok, J., & Lee, J. (2013). Shadow removal for background subtraction using illumination invariant measures. In Proceedings - 4th International Conference on Intelligent Systems, Modelling and Simulation, ISMS 2013 (pp. 237-239). [6498272] (Proceedings - International Conference on Intelligent Systems, Modelling and Simulation, ISMS). https://doi.org/10.1109/ISMS.2013.33
Lee, Chulhee ; Lee, Sangwook ; Ok, Jiheon ; Lee, Jaeho. / Shadow removal for background subtraction using illumination invariant measures. Proceedings - 4th International Conference on Intelligent Systems, Modelling and Simulation, ISMS 2013. 2013. pp. 237-239 (Proceedings - International Conference on Intelligent Systems, Modelling and Simulation, ISMS).
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Lee, C, Lee, S, Ok, J & Lee, J 2013, Shadow removal for background subtraction using illumination invariant measures. in Proceedings - 4th International Conference on Intelligent Systems, Modelling and Simulation, ISMS 2013., 6498272, Proceedings - International Conference on Intelligent Systems, Modelling and Simulation, ISMS, pp. 237-239, 4th International Conference on Intelligent Systems, Modelling and Simulation, ISMS 2013, Bangkok, Thailand, 13/1/29. https://doi.org/10.1109/ISMS.2013.33

Shadow removal for background subtraction using illumination invariant measures. / Lee, Chulhee; Lee, Sangwook; Ok, Jiheon; Lee, Jaeho.

Proceedings - 4th International Conference on Intelligent Systems, Modelling and Simulation, ISMS 2013. 2013. p. 237-239 6498272 (Proceedings - International Conference on Intelligent Systems, Modelling and Simulation, ISMS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AB - In this paper, we propose methods for shadow removal in static background environment. Accurate background subtraction is essential to detect and track various objects. Shadow and objects similar in color are major problems in background subtraction and tracking. In order to address these problems, we propose shadow removal method for background subtraction using illumination invariant measures. First, we computed a reference background image and the illumination invariant measures were applied to the reference background image and an input image. We compared the proposed method with some existing background subtraction methods. The experimental results showed that the proposed method produced more accurate results.

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Lee C, Lee S, Ok J, Lee J. Shadow removal for background subtraction using illumination invariant measures. In Proceedings - 4th International Conference on Intelligent Systems, Modelling and Simulation, ISMS 2013. 2013. p. 237-239. 6498272. (Proceedings - International Conference on Intelligent Systems, Modelling and Simulation, ISMS). https://doi.org/10.1109/ISMS.2013.33