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Volumn , Issue , 2006, Pages 1125-1128

MRF-based foreground detection in image sequences from a moving camera

Author keywords

Background estimation; Motion estimation; Motion segmentation; MRF

Indexed keywords

BACKGROUND ESTIMATION; BACKGROUND MODEL; BAYESIAN APPROACHES; FOREGROUND DETECTION; ILLUMINATION CHANGES; IMAGE SEQUENCE; MAXIMUM A POSTERIORI PROBABILITIES; MOTION SEGMENTATION; MOVING CAMERAS; MOVING OBJECTS; MRF; MRF FRAMEWORK; QUALITATIVE STUDY; SEGMENTATION ACCURACY; SPATIO-TEMPORAL; STATIC CAMERAS;

EID: 77958122903     PISSN: 15224880     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIP.2006.312754     Document Type: Conference Paper
Times cited : (21)

References (10)
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    • Gelgon, M.1    Bouthemy, P.2
  • 7
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    • A Region based MRF Model for Unsupervised Segmentation ofMoving Objects in Image Sequences
    • Dec.
    • Y. Tsaig, A. Averbuch, A Region based MRF Model for Unsupervised Segmentation ofMoving Objects in Image Sequences, In Proc. of the IEEE Conf. on CVPR, VO. 1, Dec. 2001, pp.889-896.
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    • Real-Time motion Segmentation from moving cameras
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  • 9
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    • Efficient, Robust, and Fast Global Motion Estimation for Video Coding
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    • F. Dufaux, J. Konrad, Efficient, Robust, and Fast Global Motion Estimation for Video Coding, IEEE Trans. on Image Processing, Vol.9, NO. 3, March 2000, pp.497- 501.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.