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Volumn , Issue , 2010, Pages 2608-2611

Are correlation filters useful for human action recognition?

Author keywords

[No Author keywords available]

Indexed keywords

ACTION RECOGNITION; CLASSIFICATION TASKS; COMPUTATIONAL OVERHEADS; CORRELATION FILTERS; DATA SETS; DEGREE OF TOLERANCE; HUMAN ACTIONS; HUMAN-ACTION RECOGNITION; INHERENT LIMITATIONS; INTRA-CLASS VARIATION; MACH FILTER; SPACE AND TIME; TRAINING EXAMPLE;

EID: 78149476105     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICPR.2010.639     Document Type: Conference Paper
Times cited : (14)

References (15)
  • 3
    • 34548748137 scopus 로고    scopus 로고
    • Space-Time Behavior Based Correlation or How to tell if two underlying motion fields are similar without computing them?
    • E. Shechtman et al., Space-Time Behavior Based Correlation OR How to tell if two underlying motion fields are similar without computing them?, TPAMI, 29(11), 2007.
    • (2007) TPAMI , vol.29 , Issue.11
    • Shechtman, E.1
  • 4
    • 51949084792 scopus 로고    scopus 로고
    • Action MACH a spatio-temporal Maximum Average Correlation Height filter for action recognition
    • M. D. Rodriguez et al., Action MACH a spatio-temporal Maximum Average Correlation Height filter for action recognition, CVPR, 2008.
    • (2008) CVPR
    • Rodriguez, M.D.1
  • 5
    • 78149490797 scopus 로고
    • Classifying Hand Gestures with a View-Based Distributed Representation
    • T. Darrell et al., Classifying Hand Gestures with a View-Based Distributed Representation, NIPS, 1993.
    • (1993) NIPS
    • Darrell, T.1
  • 6
    • 50649091105 scopus 로고    scopus 로고
    • Actions Sketch: A Novel Action Representation
    • A. Yilmaz et al., Actions Sketch: A Novel Action Representation, IEEE CVPR, 2005.
    • (2005) IEEE CVPR
    • Yilmaz, A.1
  • 7
    • 33745891801 scopus 로고    scopus 로고
    • Actions as Space-Time Shapes
    • M. Blank et al., Actions as Space-Time Shapes, IEEE ICCV, 2005.
    • (2005) IEEE ICCV
    • Blank, M.1
  • 8
    • 70349214280 scopus 로고    scopus 로고
    • Learning Realistic Human Actions from Movies
    • I. Laptev et al., Learning Realistic Human Actions from Movies, IEEE CVPR, 2008.
    • (2008) IEEE CVPR
    • Laptev, I.1
  • 9
    • 84898026340 scopus 로고    scopus 로고
    • Unsupervised Learning of Human Action Categories Using Spatial-Temporal Words
    • J. C. Niebles et al., Unsupervised Learning of Human Action Categories Using Spatial-Temporal Words, BMVC, 2006.
    • (2006) BMVC
    • Niebles, J.C.1
  • 10
    • 37849037402 scopus 로고    scopus 로고
    • A 3-Dimensional SIFT Descriptor and its Application to Action Recognition
    • P. Scovanner et al., A 3-Dimensional SIFT Descriptor and its Application to Action Recognition, ACM Multimedia, 2007.
    • (2007) ACM Multimedia
    • Scovanner, P.1
  • 11
    • 0344983342 scopus 로고    scopus 로고
    • Recognizing Action at a Distance
    • A. Efros et al., Recognizing Action at a Distance, ICCV, 2003.
    • (2003) ICCV
    • Efros, A.1
  • 12
    • 0002248235 scopus 로고    scopus 로고
    • Recognizing People by Their Gait: The Shape of Motion
    • J. Little et al., Recognizing People by Their Gait: The Shape of Motion, Journal of Computer Vision Research, 1998.
    • (1998) Journal of Computer Vision Research
    • Little, J.1
  • 13
    • 0026966646 scopus 로고
    • A training algorithm for optimal margin classifiers
    • B. E. Boser, et al., A training algorithm for optimal margin classifiers, 5th COLT, 1992.
    • (1992) 5th COLT
    • Boser, B.E.1
  • 14
    • 78149474998 scopus 로고    scopus 로고
    • http://www.cs.cmu.edu/ saada/proof.pdf


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.