메뉴 건너뛰기




Volumn , Issue , 2011, Pages 3281-3288

Learning to recognize objects in egocentric activities

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SCIENCE; COMPUTERS; ELECTRICAL ENGINEERING; PATTERN RECOGNITION; SOFTWARE ENGINEERING;

EID: 80052894345     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2011.5995444     Document Type: Conference Paper
Times cited : (499)

References (26)
  • 1
    • 84898946229 scopus 로고    scopus 로고
    • Support vector machines for multiple-instance learning
    • 3282, 3286, 3287
    • S. Andrews, I. Tsochantaridis, and T. Hofmann. Support vector machines for multiple-instance learning. In NIPS, 2003. 3282, 3286, 3287
    • (2003) NIPS
    • Andrews, S.1    Tsochantaridis, I.2    Hofmann, T.3
  • 2
    • 84927751020 scopus 로고    scopus 로고
    • From contours to regions: An empirical evaluation
    • 3283
    • P. Arbelaez, M. Maire, C. Fowlkes, and J. Malik. From contours to regions: an empirical evaluation. In CVPR, 2009. 3283
    • (2009) CVPR
    • Arbelaez, P.1    Maire, M.2    Fowlkes, C.3    Malik, J.4
  • 4
    • 33845595951 scopus 로고    scopus 로고
    • Animals on the web
    • 3282
    • T. L. Berg and D. A. Forsyth. Animals on the web. In CVPR, 2006. 3282
    • (2006) CVPR
    • Berg, T.L.1    Forsyth, D.A.2
  • 5
    • 70450179964 scopus 로고    scopus 로고
    • Learning sign language by watching tv (using weakly aligned subtitles)
    • 3281, 3282
    • P. Buehler, M. Everingham, and A. Zisserman. Learning sign language by watching tv (using weakly aligned subtitles). In CVPR, 2009. 3281, 3282
    • (2009) CVPR
    • Buehler, P.1    Everingham, M.2    Zisserman, A.3
  • 6
    • 33947180489 scopus 로고    scopus 로고
    • Miles: Multipleinstance learning via embedded instance selection
    • 3282, 3284
    • Y. Chen, J. Bi, and J. Z. Wang. Miles: multipleinstance learning via embedded instance selection. In PAMI, 2006. 3282, 3284
    • (2006) PAMI
    • Chen, Y.1    Bi, J.2    Wang, J.Z.3
  • 7
    • 80052894360 scopus 로고    scopus 로고
    • Semantic label sharing for learning with many categories
    • 3282
    • R. Fergus, H. Bernal, Y. Weiss, and A. Torralba. Semantic label sharing for learning with many categories. In ECCV, 2010. 3282
    • (2010) ECCV
    • Fergus, R.1    Bernal, H.2    Weiss, Y.3    Torralba, A.4
  • 8
    • 69549121743 scopus 로고    scopus 로고
    • Observing human-object interactions: Using spatial and functional compatibility for recognition
    • 3282
    • A. Gupta, A. Kembhavi, and L. S. Davis. Observing human-object interactions: using spatial and functional compatibility for recognition. In PAMI, 2009. 3282
    • (2009) PAMI
    • Gupta, A.1    Kembhavi, A.2    Davis, L.S.3
  • 9
    • 79958737093 scopus 로고    scopus 로고
    • Object, scene and actions: Combining multiple features for human action recognition
    • 3282
    • N. Ikizler-Cinbis and S. Sclaroff. Object, scene and actions: combining multiple features for human action recognition. In ECCV, 2010. 3282
    • (2010) ECCV
    • Ikizler-Cinbis, N.1    Sclaroff, S.2
  • 10
    • 1942483137 scopus 로고    scopus 로고
    • Transductive inference for text classification using support vector machines
    • 3285
    • T. Joachims. Transductive inference for text classification using support vector machines. In ICML, 1999. 3285
    • (1999) ICML
    • Joachims, T.1
  • 12
    • 78149310629 scopus 로고    scopus 로고
    • What, where and who? Classifying event by scene and object recognition
    • 3282
    • L. J. Li and L. Fei-Fei. What, where and who? classifying event by scene and object recognition. In CVPR, 2007. 3282
    • (2007) CVPR
    • Li, L.J.1    Fei-Fei, L.2
  • 13
    • 3042535216 scopus 로고    scopus 로고
    • Distinctive image features from scaleinvariant keypoints
    • 3284
    • D. G. Lowe. Distinctive image features from scaleinvariant keypoints. IJCV, 60(2):91-110, 2004. 3284
    • (2004) IJCV , vol.60 , Issue.2 , pp. 91-110
    • Lowe, D.G.1
  • 15
    • 0033640753 scopus 로고    scopus 로고
    • Looking at people: Sensing for ubiquitous and wearable computing
    • 3282
    • A. Pentland. Looking at people: sensing for ubiquitous and wearable computing. In PAMI, 2000. 3282
    • (2000) PAMI
    • Pentland, A.1
  • 16
    • 77955991434 scopus 로고    scopus 로고
    • Figure-ground segmentation improves handled object recognition in egocentric video
    • 3282, 3283, 3286
    • X. Ren and C. Gu. Figure-ground segmentation improves handled object recognition in egocentric video. In CVPR, 2010. 3282, 3283, 3286
    • (2010) CVPR
    • Ren, X.1    Gu, C.2
  • 17
    • 34948842413 scopus 로고    scopus 로고
    • Hierarchical recognition of human activities interacting with objects
    • 3282
    • M. Ryoo and J. Aggarwal. Hierarchical recognition of human activities interacting with objects. In CVPR, 2007. 3282
    • (2007) CVPR
    • Ryoo, M.1    Aggarwal, J.2
  • 18
    • 70449569653 scopus 로고    scopus 로고
    • An interactive computer vision system - Dypers: Dynamic personal enhanced reality system
    • 3282
    • B. Schiele, N. Oliver, T. Jebara, and A. Pentland. An interactive computer vision system - dypers: dynamic personal enhanced reality system. In ICVS, 1999. 3282
    • (1999) ICVS
    • Schiele, B.1    Oliver, N.2    Jebara, T.3    Pentland, A.4
  • 20
    • 80052898738 scopus 로고    scopus 로고
    • Temporal segmentation and activity classification from firstperson sensing
    • 3282
    • E. H. Spriggs, F. De La Torre, and M. Hebert. Temporal segmentation and activity classification from firstperson sensing. In Egovision Workshop, 2009. 3282
    • (2009) Egovision Workshop
    • Spriggs, E.H.1    De La Torre, F.2    Hebert, M.3
  • 21
    • 0032634283 scopus 로고    scopus 로고
    • Adaptive background mixture models for real-time tracking
    • 3282
    • C. Stauffer and W. E. L. Grimson. Adaptive background mixture models for real-time tracking. In CVPR, volume 2, pages 246-252, 1999. 3282
    • (1999) CVPR , vol.2 , pp. 246-252
    • Stauffer, C.1    Grimson, W.E.L.2
  • 22
    • 8644258401 scopus 로고    scopus 로고
    • A statistical approach to texture classification from single images
    • 3283
    • Manik Varma and Andrew Zisserman. A statistical approach to texture classification from single images. In IJCV, 2005. 3283
    • (2005) IJCV
    • Varma, M.1    Zisserman, A.2
  • 23
    • 51949096901 scopus 로고    scopus 로고
    • Keywords to visual categories: Multiple-instance learning for weakly supervised object categorization
    • 3282
    • S. Vijayanarasimhan and K. Grauman. Keywords to visual categories: multiple-instance learning for weakly supervised object categorization. In CVPR, 2008. 3282
    • (2008) CVPR
    • Vijayanarasimhan, S.1    Grauman, K.2
  • 24
    • 50649106160 scopus 로고    scopus 로고
    • A scalable approach to activity recognition based on object use
    • 3281, 3282, 3286
    • J. Wu, A. Osuntogun, T. Choudhury, M. Philipose, and J. M. Rehg. A scalable approach to activity recognition based on object use. In CVPR, 2007. 3281, 3282, 3286
    • (2007) CVPR
    • Wu, J.1    Osuntogun, A.2    Choudhury, T.3    Philipose, M.4    Rehg, J.M.5
  • 25
    • 34948837349 scopus 로고    scopus 로고
    • A general framework for motion segmentation: Independent, articulated, rigid, non-rigid, degenerate and non-degenerate
    • 3282
    • J. Yan and M. Pollefeys. A general framework for motion segmentation: independent, articulated, rigid, non-rigid, degenerate and non-degenerate. In ECCV, 2006. 3282
    • (2006) ECCV
    • Yan, J.1    Pollefeys, M.2
  • 26
    • 1942484430 scopus 로고    scopus 로고
    • Semisupervised learning using gaussian fields and harmonic functions
    • 3285
    • X. Zhu, Z. Ghahramani, and J. Lafferty. Semisupervised learning using gaussian fields and harmonic functions. In ICML, 2003. 3285
    • (2003) ICML
    • Zhu, X.1    Ghahramani, Z.2    Lafferty, J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.