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Volumn , Issue , 2011, Pages 2415-2422

Video parsing for abnormality detection

Author keywords

[No Author keywords available]

Indexed keywords

ABNORMALITY DETECTION; CLASSIFICATION PERFORMANCE; DATA SETS; DIRECT DETECTION; IMAGE REGIONS; IRREGULAR OBJECTS; LOCALIZATION PERFORMANCE; PROBABILISTIC MODELS; STANDARD SETTING; STATISTICAL INFERENCE; TRAINING DATA; TRAINING SAMPLE; VIDEO FRAME; VIDEO PARSING;

EID: 84856635890     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCV.2011.6126525     Document Type: Conference Paper
Times cited : (176)

References (27)
  • 1
    • 39549091484 scopus 로고    scopus 로고
    • Robust real-time unusual event detection using multiple fixedlocation monitors
    • 2, 6
    • A. Adam, E. Rivlin, I. Shimshoni, and D. Reinitz. Robust real-time unusual event detection using multiple fixedlocation monitors. PAMI, 30, 2008. 2, 6
    • (2008) PAMI , vol.30
    • Adam, A.1    Rivlin, E.2    Shimshoni, I.3    Reinitz, D.4
  • 2
    • 51949087368 scopus 로고    scopus 로고
    • Connected segmentation tree: A joint representation of region layout and hierarchy
    • 2
    • N. Ahuja and S. Todorovic. Connected segmentation tree: A joint representation of region layout and hierarchy. In CVPR, 2008. 2
    • (2008) CVPR
    • Ahuja, N.1    Todorovic, S.2
  • 3
    • 51949114606 scopus 로고    scopus 로고
    • Learning object motion patterns for anomaly detection and improved object detection
    • 2
    • A. Basharat, A. Gritai, and M. Shah. Learning object motion patterns for anomaly detection and improved object detection. In CVPR, 2008. 2
    • (2008) CVPR
    • Basharat, A.1    Gritai, A.2    Shah, M.3
  • 4
    • 33745944021 scopus 로고    scopus 로고
    • Detecting irregularities in images and in video
    • 1
    • O. Boiman and M. Irani. Detecting irregularities in images and in video. In ICCV, pages 462-469, 2005. 1
    • (2005) ICCV , pp. 462-469
    • Boiman, O.1    Irani, M.2
  • 5
    • 79955702502 scopus 로고    scopus 로고
    • Libsvm: A library for support vector machines
    • May, 3
    • C.-C. Chang and C.-J. Lin. Libsvm: A library for support vector machines. ACM Trans. Intell. Syst. Technol., 2:27:1- 27:27, May 2011. 3
    • (2011) ACM Trans. Intell. Syst. Technol. , vol.2 , pp. 271-2727
    • Chang, C.-C.1    Lin, C.-J.2
  • 6
    • 33745829676 scopus 로고    scopus 로고
    • Detecting inexplicable behaviour
    • 2
    • H. Dee and D. Hogg. Detecting inexplicable behaviour. In BMVC, 2004. 2
    • (2004) BMVC
    • Dee, H.1    Hogg, D.2
  • 7
    • 35148867545 scopus 로고    scopus 로고
    • Towards scalable representations of object categories: Learning a hierarchy of parts
    • 2
    • S. Fidler and A. Leonardis. Towards scalable representations of object categories: Learning a hierarchy of parts. In CVPR, 2007. 2
    • (2007) CVPR
    • Fidler, S.1    Leonardis, A.2
  • 8
    • 85085175172 scopus 로고    scopus 로고
    • A markov clustering topic model for mining behaviour in video
    • 2
    • T. Hospedales, S. Gong, and T. Xiang. A markov clustering topic model for mining behaviour in video. In ICCV, 2009. 2
    • (2009) ICCV
    • Hospedales, T.1    Gong, S.2    Xiang, T.3
  • 9
    • 77953194241 scopus 로고    scopus 로고
    • Action detection in complex scenes with spatial and temporal ambiguities
    • 2
    • Y. Hu, L. Cao, F. Lv, S. Yan, Y. Gong, and T. S. Huang. Action detection in complex scenes with spatial and temporal ambiguities. In ICCV, pages 128-135, 2009. 2
    • (2009) ICCV , pp. 128-135
    • Hu, Y.1    Cao, L.2    Lv, F.3    Yan, S.4    Gong, Y.5    Huang, T.S.6
  • 10
    • 70450169881 scopus 로고    scopus 로고
    • Observe locally, infer globally: A space-time mrf for detecting abnormal activities with incremental updates
    • 2, 6
    • J. Kim and K. Grauman. Observe locally, infer globally: A space-time mrf for detecting abnormal activities with incremental updates. In CVPR, 2009. 2, 6
    • (2009) CVPR
    • Kim, J.1    Grauman, K.2
  • 11
    • 70450181234 scopus 로고    scopus 로고
    • HOP: Hierarchical object parsing
    • 2
    • I. Kokkinos and A. L. Yuille. HOP: Hierarchical object parsing. In CVPR, 2009. 2
    • (2009) CVPR
    • Kokkinos, I.1    Yuille, A.L.2
  • 13
    • 70450169911 scopus 로고    scopus 로고
    • Nonparametric scene parsing: Label transfer via dense scene alignment
    • 2
    • C. Liu, J. Yuen, and A. Torralba. Nonparametric scene parsing: Label transfer via dense scene alignment. In CVPR, 2009. 2
    • (2009) CVPR
    • Liu, C.1    Yuen, J.2    Torralba, A.3
  • 14
    • 3042535216 scopus 로고    scopus 로고
    • Distinctive image features from scale-invariant keypoints
    • 2
    • D. G. Lowe. Distinctive image features from scale-invariant keypoints. IJCV, 60(2), 2004. 2
    • (2004) IJCV , vol.60 , Issue.2
    • Lowe, D.G.1
  • 16
    • 84858736606 scopus 로고    scopus 로고
    • Beyond categories: The visual memex model for reasoning about object relationships
    • 2
    • T. Malisiewicz and A. A. Efros. Beyond categories: The visual memex model for reasoning about object relationships. In NIPS, 2009. 2
    • (2009) NIPS
    • Malisiewicz, T.1    Efros, A.A.2
  • 17
    • 70450255364 scopus 로고    scopus 로고
    • Abnormal crowd behavior detection using social force model
    • 6
    • R. Mehran, A. Oyama, and M. Shah. Abnormal crowd behavior detection using social force model. CVPR, 2009. 6
    • (2009) CVPR
    • Mehran, R.1    Oyama, A.2    Shah, M.3
  • 18
    • 61449255233 scopus 로고    scopus 로고
    • Seeing the objects behind the dots: Recognition in videos from a moving camera
    • June, 2
    • B. Ommer, T. Mader, and J. M. Buhmann. Seeing the objects behind the dots: Recognition in videos from a moving camera. Int. J. Comput. Vision, 83:57-71, June 2009. 2
    • (2009) Int. J. Comput. Vision , vol.83 , pp. 57-71
    • Ommer, B.1    Mader, T.2    Buhmann, J.M.3
  • 19
    • 0018689571 scopus 로고
    • An algorithm for tracking multiple targets
    • 2
    • D. B. Reid. An algorithm for tracking multiple targets. IEEE Transactions on Automatic Control, 24:843-854, 1979. 2
    • (1979) IEEE Transactions on Automatic Control , vol.24 , pp. 843-854
    • Reid, D.B.1
  • 20
    • 2342656598 scopus 로고    scopus 로고
    • Classifying surveillance events from attributes and behaviour
    • 2
    • P. Remagnino and G. A. Jones. Classifying surveillance events from attributes and behaviour. In BMVC, 2001. 2
    • (2001) BMVC
    • Remagnino, P.1    Jones, G.A.2
  • 21
    • 10044233701 scopus 로고    scopus 로고
    • Recognizing human actions: A local svm approach
    • 2
    • C. Schuldt, I. Laptev, and B. Caputo. Recognizing human actions: A local svm approach. In ICPR, 2004. 2
    • (2004) ICPR
    • Schuldt, C.1    Laptev, I.2    Caputo, B.3
  • 22
    • 33745808621 scopus 로고    scopus 로고
    • Multivalued default logic for identity maintenance in visual surveillance
    • 2
    • V. D. Shet, D. Harwood, and L. S. Davis. Multivalued default logic for identity maintenance in visual surveillance. In In ECCV, pages 119-132, 2006. 2
    • (2006) ECCV , pp. 119-132
    • Shet, V.D.1    Harwood, D.2    Davis, L.S.3
  • 23
    • 17444392134 scopus 로고    scopus 로고
    • Image parsing: Unifying segmentation, detection, and recognition
    • 2
    • Z. W. Tu, X. R. Chen, A. L. Yuille, and S. C. Zhu. Image parsing: Unifying segmentation, detection, and recognition. IJCV, 63(2), 2005. 2
    • (2005) IJCV , vol.63 , Issue.2
    • Tu, Z.W.1    Chen, X.R.2    Yuille, A.L.3    Zhu, S.C.4
  • 24
    • 63849117955 scopus 로고    scopus 로고
    • Unsupervised activity perception in crowded and complicated scenes using hierarchical bayesian models
    • 2
    • X. Wang, X. Ma, and W. Grimson. Unsupervised activity perception in crowded and complicated scenes using hierarchical bayesian models. PAMI, 31, 2009. 2
    • (2009) PAMI , vol.31
    • Wang, X.1    Ma, X.2    Grimson, W.3
  • 25
    • 77956200985 scopus 로고    scopus 로고
    • Robust principal component analysis: Exact recovery of corrupted low-rank matrices by convex optimization
    • 1, 3
    • J. Wright, A. Ganesh, S. Rao, Y. Peng, and Y. Ma. Robust principal component analysis: Exact recovery of corrupted low-rank matrices by convex optimization. In NIPS, 2009. 1, 3
    • (2009) NIPS
    • Wright, J.1    Ganesh, A.2    Rao, S.3    Peng, Y.4    Ma, Y.5
  • 26
    • 33745901086 scopus 로고    scopus 로고
    • Video behaviour profiling and abnormality detection without manual labelling
    • 1, 2
    • T. Xiang and S. Gong. Video behaviour profiling and abnormality detection without manual labelling. In ICCV, pages 1238-1245, 2005. 1, 2
    • (2005) ICCV , pp. 1238-1245
    • Xiang, T.1    Gong, S.2
  • 27
    • 5044228350 scopus 로고    scopus 로고
    • Detecting unusual activity in video
    • 1, 2
    • H. Zhong, J. Shi, and M. Visontai. Detecting unusual activity in video. In CVPR, pages 819-826, 2004. 1, 2
    • (2004) CVPR , pp. 819-826
    • Zhong, H.1    Shi, J.2    Visontai, M.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.