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Volumn 7728 LNCS, Issue PART 1, 2013, Pages 308-314

Illumination invariant background model using mixture of Gaussians and SURF features

Author keywords

[No Author keywords available]

Indexed keywords

FEATURES MATCHING; ILLUMINATION INVARIANT; LOCAL ILLUMINATION; LOCAL PARAMETERS; MIXTURE OF GAUSSIANS; MIXTURE OF GAUSSIANS (MOG); PERFORMANCE IMPROVEMENTS; UPDATING METHODS;

EID: 84875999032     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-37410-4_27     Document Type: Conference Paper
Times cited : (10)

References (10)
  • 8
    • 46449114701 scopus 로고    scopus 로고
    • Automatically tunings background subtraction parameters using particle swarm optimization
    • White, B., Shah, M.: Automatically tunings background subtraction parameters using particle swarm optimization. In: Proc. IEEE International Conference on Multimedia and Expo, pp. 1826-1829 (2005)
    • (2005) Proc. IEEE International Conference on Multimedia and Expo , pp. 1826-1829
    • White, B.1    Shah, M.2
  • 9
    • 33646855413 scopus 로고    scopus 로고
    • Flexible background mixture models for foreground segmentation
    • Cheng, J., Yang, J., Zhou, Y., Cui, Y.: Flexible background mixture models for foreground segmentation. Image and Vision Computing 24, 473-482 (2006)
    • (2006) Image and Vision Computing , vol.24 , pp. 473-482
    • Cheng, J.1    Yang, J.2    Zhou, Y.3    Cui, Y.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.