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Volumn , Issue , 2014, Pages 274-280

Use of sparse representation for pedestrian detection in thermal images

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMOBILE DRIVERS; COMPUTER VISION; HOSIERY MANUFACTURE; INFRARED IMAGING; POPULATION STATISTICS; TEXTURES;

EID: 84908542132     PISSN: 21607508     EISSN: 21607516     Source Type: Conference Proceeding    
DOI: 10.1109/CVPRW.2014.49     Document Type: Conference Paper
Times cited : (20)

References (26)
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  • 9
    • 77955230099 scopus 로고    scopus 로고
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    • 79960750238 scopus 로고    scopus 로고
    • Pedestrian detection and direction estimation by cascade detector with multi-classifiers utilizing feature interaction descripto
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    • (2011) IEEE Intelligent Vehicles Symposium
    • Goto, K.1    Kidono, K.2    Kimura, Y.3    Naito, T.4
  • 12
    • 67650227468 scopus 로고    scopus 로고
    • Real-time pedestian detection and tracking at nighttime for driver-assistance system
    • J. F. Ge, Y. P. Luo, and G. M. Tei. Real-time pedestian detection and tracking at nighttime for driver-assistance systems. IEEE Transactions on Intelligent Transportation Systems, 10:283-298, 2009.
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    • J. W. Davis and V. Sharma. Background-subtraction using contour-based fusion of thermal and visible imagery. Computer vision and image understanding, 106:162-182, 2007.
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    • Davis, J.W.1    Sharma, V.2
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    • K-SVD an algorithm for designing overcomplete dictionaries for sparse representatio
    • M. Aharon, M. Elad, and A. Bruckstein. K-SVD: An algorithm for designing overcomplete dictionaries for sparse representation. IEEE Transactions on Signal Processing, 54:4311-4322, 2006.
    • (2006) IEEE Transactions on Signal Processing , vol.54 , pp. 4311-4322
    • Aharon, M.1    Elad, M.2    Bruckstein, A.3
  • 17
    • 33751379736 scopus 로고    scopus 로고
    • Image denoising via sparse and redundant representations over learned dictionarie
    • M. Elad and M. Aharon. Image denoising via sparse and redundant representations over learned dictionaries. IEEE Transactions on Image Processing, 15:3736-3745, 2006.
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    • Phase congruency A low-level image invarian
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    • Z. Liu and R. Laganiere. Phase congruence measurement for image similarity assessment. Pattern Recognition Letters, 28:166-172, 2007.
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    • Liu, Z.1    Laganiere, R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.