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Volumn 07-12-June-2015, Issue , 2015, Pages 2596-2605

Visual recognition by counting instances: A multi-instance cardinality potential kernel

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; ENCODING (SYMBOLS);

EID: 84959235302     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2015.7298875     Document Type: Conference Paper
Times cited : (84)

References (33)
  • 1
    • 84906329942 scopus 로고    scopus 로고
    • Hirf: Hierarchical random field for collective activity recognition in videos
    • Springer
    • M. R. Amer, P. Lei, and S. Todorovic. Hirf: Hierarchical random field for collective activity recognition in videos. In European Conference on Computer Vision (ECCV), pages 572-585. Springer, 2014
    • (2014) European Conference on Computer Vision (ECCV) , pp. 572-585
    • Amer, M.R.1    Lei, P.2    Todorovic, S.3
  • 5
    • 84867849925 scopus 로고    scopus 로고
    • A unified framework for multitarget tracking and collective activity recognition
    • W Choi and S. Savarese. A unified framework for multitarget tracking and collective activity recognition. In European Conference on Computer Vision (ECCV), pages 215-230. 2012
    • (2012) European Conference on Computer Vision (ECCV) , pp. 215-230
    • Choi, W.1    Savarese, S.2
  • 6
    • 84860637211 scopus 로고    scopus 로고
    • What are they doing: Collective activity classification using spatio-temporal relationship among people
    • W Choi, K Shahid, and S. Savarese. What are they doing: Collective activity classification using spatio-temporal relationship among people. In 9th International Workshop on Visual Surveillance, 2009
    • (2009) 9th International Workshop on Visual Surveillance
    • Choi, W.1    Shahid, K.2    Savarese, S.3
  • 15
    • 84911405209 scopus 로고    scopus 로고
    • Joint summarization of largescale collections of web images and videos for storyline reconstruction
    • G. Kim, L Sigal, and E. Xing. Joint summarization of largescale collections of web images and videos for storyline reconstruction. In Computer Vision and Pattern Recognition (CVPR),2014
    • (2014) Computer Vision and Pattern Recognition (CVPR)
    • Kim, G.1    Sigal, L.2    Xing, E.3
  • 29


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.