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Volumn 2015 International Conference on Computer Vision, ICCV 2015, Issue , 2015, Pages 3173-3181

Unsupervised object discovery and tracking in video collections

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SCIENCE; COMPUTERS; ELECTRICAL ENGINEERING;

EID: 84973884868     PISSN: 15505499     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCV.2015.363     Document Type: Conference Paper
Times cited : (124)

References (42)
  • 1
    • 80052894150 scopus 로고    scopus 로고
    • Stable multi-target tracking in realtime surveillance video
    • B. Benfold and I. Reid. Stable multi-target tracking in realtime surveillance video. In CVPR, 2011.
    • (2011) CVPR
    • Benfold, B.1    Reid, I.2
  • 3
    • 78149326091 scopus 로고    scopus 로고
    • Object segmentation by long term analysis of point trajectories
    • T. Brox and J. Malik. Object segmentation by long term analysis of point trajectories. In ECCV, pages 282-295, 2010.
    • (2010) ECCV , pp. 282-295
    • Brox, T.1    Malik, J.2
  • 4
    • 84959186112 scopus 로고    scopus 로고
    • Unsupervised object discovery and localization in the wild: Part-based matching using bottom-up region proposals
    • M. Cho, S. Kwak, C. Schmid, and J. Ponce. Unsupervised object discovery and localization in the wild: Part-based matching using bottom-up region proposals. In CVPR, 2015.
    • (2015) CVPR
    • Cho, M.1    Kwak, S.2    Schmid, C.3    Ponce, J.4
  • 5
    • 84911376072 scopus 로고    scopus 로고
    • Multi-fold MIL training for weakly supervised object localization
    • R. G. Cinbis, J. Verbeek, and C. Schmid. Multi-fold MIL Training for Weakly Supervised Object Localization. In CVPR, 2014.
    • (2014) CVPR
    • Cinbis, R.G.1    Verbeek, J.2    Schmid, C.3
  • 7
    • 33645146449 scopus 로고    scopus 로고
    • Histograms of oriented gradients for human detection
    • N. Dalal and B. Triggs. Histograms of oriented gradients for human detection. In CVPR, 2005.
    • (2005) CVPR
    • Dalal, N.1    Triggs, B.2
  • 9
    • 79959728283 scopus 로고    scopus 로고
    • Localizing objects while learning their appearance
    • T. Deselaers, B. Alexe, and V. Ferrari. Localizing Objects While Learning Their Appearance. In ECCV, 2010.
    • (2010) ECCV
    • Deselaers, T.1    Alexe, B.2    Ferrari, V.3
  • 11
    • 84887388528 scopus 로고    scopus 로고
    • "Clustering by composition"-Unsupervised discovery of image categories
    • A. Faktor and M. Irani. "Clustering by composition"-Unsupervised discovery of image categories. In ECCV, 2012.
    • (2012) ECCV
    • Faktor, A.1    Irani, M.2
  • 12
    • 33845575890 scopus 로고    scopus 로고
    • Unsupervised learning of categories from sets of partially matching image features
    • K. Grauman and T. Darrell. Unsupervised learning of categories from sets of partially matching image features. In CVPR, 2006.
    • (2006) CVPR
    • Grauman, K.1    Darrell, T.2
  • 13
    • 84856659290 scopus 로고    scopus 로고
    • Struck: Structured output tracking with kernels
    • S. Hare, A. Saffari, and P. H. S. Torr. Struck: Structured output tracking with kernels. In ICCV, 2011.
    • (2011) ICCV
    • Hare, S.1    Saffari, A.2    Torr, P.H.S.3
  • 14
    • 84887395819 scopus 로고    scopus 로고
    • Discriminative decorrelation for clustering and classification
    • B. Hariharan, J. Malik, and D. Ramanan. Discriminative decorrelation for clustering and classification. In ECCV, 2012.
    • (2012) ECCV
    • Hariharan, B.1    Malik, J.2    Ramanan, D.3
  • 15
    • 84898772310 scopus 로고    scopus 로고
    • Orderless tracking through model-averaged posterior estimation
    • S. Hong, S. Kwak, and B. Han. Orderless tracking through model-averaged posterior estimation. In ICCV, 2013.
    • (2013) ICCV
    • Hong, S.1    Kwak, S.2    Han, B.3
  • 16
    • 84911453664 scopus 로고    scopus 로고
    • Action localization with tubelets from motion
    • June
    • M. Jain, J. van Gemert, H. Jegou, P. Bouthemy, and C. Snoek. Action localization with tubelets from motion. In CVPR, pages 740-747, June 2014.
    • (2014) CVPR , pp. 740-747
    • Jain, M.1    Van Gemert, J.2    Jegou, H.3    Bouthemy, P.4    Snoek, C.5
  • 17
    • 84943738421 scopus 로고    scopus 로고
    • Efficient image and video co-localization with frank-wolfe algorithm
    • A. Joulin, K. Tang, and L. Fei-Fei. Efficient Image and Video Co-localization with Frank-Wolfe Algorithm. In ECCV, 2014.
    • (2014) ECCV
    • Joulin, A.1    Tang, K.2    Fei-Fei, L.3
  • 18
    • 84856671399 scopus 로고    scopus 로고
    • Unsupervised detection of regions of interest using iterative link analysis
    • G. Kim and A. Torralba. Unsupervised detection of regions of interest using iterative link analysis. In NIPS, 2009.
    • (2009) NIPS
    • Kim, G.1    Torralba, A.2
  • 19
    • 84856657267 scopus 로고    scopus 로고
    • Generalized background subtraction based on hybrid inference by belief propagation and Bayesian filtering
    • S. Kwak, T. Lim, W. Nam, B. Han, and J. H. Han. Generalized background subtraction based on hybrid inference by belief propagation and Bayesian filtering. In ICCV, 2011.
    • (2011) ICCV
    • Kwak, S.1    Lim, T.2    Nam, W.3    Han, B.4    Han, J.H.5
  • 20
    • 84973858571 scopus 로고    scopus 로고
    • Key-segments for video object segmentation
    • Y. J. Lee, J. Kim, and K. Grauman. Key-segments for video object segmentation. In CVPR, 2011.
    • (2011) CVPR
    • Lee, Y.J.1    Kim, J.2    Grauman, K.3
  • 21
    • 84898781017 scopus 로고    scopus 로고
    • Prime object proposals with randomized Prim's algorithm
    • S. Manen, M. Guillaumin, and L. Gool. Prime object proposals with randomized Prim's algorithm. In ICCV, 2013.
    • (2013) ICCV
    • Manen, S.1    Guillaumin, M.2    Gool, L.3
  • 22
    • 84856688133 scopus 로고    scopus 로고
    • Object segmentation in video: A hierarchical variational approach for turning point trajectories into dense regions
    • P. Ochs and T. Brox. Object segmentation in video: A hierarchical variational approach for turning point trajectories into dense regions. In ICCV, 2011.
    • (2011) ICCV
    • Ochs, P.1    Brox, T.2
  • 23
    • 84866715415 scopus 로고    scopus 로고
    • Higher order motion models and spectral clustering
    • P. Ochs and T. Brox. Higher order motion models and spectral clustering. In CVPR, 2012.
    • (2012) CVPR
    • Ochs, P.1    Brox, T.2
  • 24
    • 84906491024 scopus 로고    scopus 로고
    • Spatiotemporal object detection proposals
    • D. Oneata, J. Revaud, J. Verbeek, and C. Schmid. Spatiotemporal object detection proposals. In ECCV, pages 737-752. 2014.
    • (2014) ECCV , pp. 737-752
    • Oneata, D.1    Revaud, J.2    Verbeek, J.3    Schmid, C.4
  • 25
    • 84898831797 scopus 로고    scopus 로고
    • Fast object segmentation in unconstrained video
    • Dec
    • A. Papazoglou and V. Ferrari. Fast object segmentation in unconstrained video. In ICCV, pages 1777-1784, Dec 2013.
    • (2013) ICCV , pp. 1777-1784
    • Papazoglou, A.1    Ferrari, V.2
  • 26
    • 80052904076 scopus 로고    scopus 로고
    • Globallyoptimal greedy algorithms for tracking a variable number of objects
    • June
    • H. Pirsiavash, D. Ramanan, and C. Fowlkes. Globallyoptimal greedy algorithms for tracking a variable number of objects. In CVPR, pages 1201-1208, June 2011.
    • (2011) CVPR , pp. 1201-1208
    • Pirsiavash, H.1    Ramanan, D.2    Fowlkes, C.3
  • 27
    • 84866674032 scopus 로고    scopus 로고
    • Learning object class detectors from weakly annotated video
    • A. Prest, C. Leistner, J. Civera, C. Schmid, and V. Ferrari. Learning object class detectors from weakly annotated video. In CVPR, pages 3282-3289, 2012.
    • (2012) CVPR , pp. 3282-3289
    • Prest, A.1    Leistner, C.2    Civera, J.3    Schmid, C.4    Ferrari, V.5
  • 28
    • 33845596932 scopus 로고    scopus 로고
    • Using multiple segmentations to discover objects and their extent in image collections
    • B. Russell, W. Freeman, A. Efros, J. Sivic, and A. Zisserman. Using multiple segmentations to discover objects and their extent in image collections. In CVPR, 2006.
    • (2006) CVPR
    • Russell, B.1    Freeman, W.2    Efros, A.3    Sivic, J.4    Zisserman, A.5
  • 30
    • 84898784069 scopus 로고    scopus 로고
    • Bayesian joint topic modelling for weakly supervised object localisation
    • Z. Shi, T. M. Hospedales, and T. Xiang. Bayesian joint topic modelling for weakly supervised object localisation. In ICCV, 2013.
    • (2013) ICCV
    • Shi, Z.1    Hospedales, T.M.2    Xiang, T.3
  • 33
    • 84887363653 scopus 로고    scopus 로고
    • Discriminative segment annotation in weakly labeled video
    • K. Tang, R. Sukthankar, J. Yagnik, and L. Fei-Fei. Discriminative segment annotation in weakly labeled video. In CVPR, 2013.
    • (2013) CVPR
    • Tang, K.1    Sukthankar, R.2    Yagnik, J.3    Fei-Fei, L.4
  • 34
    • 51949119257 scopus 로고    scopus 로고
    • Small codes and large image databases for recognition
    • A. Torralba, R. Fergus, and Y. Weiss. Small codes and large image databases for recognition. In CVPR, 2008.
    • (2008) CVPR
    • Torralba, A.1    Fergus, R.2    Weiss, Y.3
  • 35
    • 84890868705 scopus 로고    scopus 로고
    • Video segmentation with spatiotemporal tubes
    • Aug
    • R. Trichet and R. Nevatia. Video segmentation with spatiotemporal tubes. In AVSS, pages 330-335, Aug 2013.
    • (2013) AVSS , pp. 330-335
    • Trichet, R.1    Nevatia, R.2
  • 36
    • 84898809523 scopus 로고    scopus 로고
    • Image co-segmentation via consistent functional maps
    • F. Wang, Q. Huang, and L. Guibas. Image co-segmentation via consistent functional maps. In ICCV, 2013.
    • (2013) ICCV
    • Wang, F.1    Huang, Q.2    Guibas, L.3
  • 37
    • 84911455238 scopus 로고    scopus 로고
    • Unsupervised multi-class joint image segmentation
    • F. Wang, Q. Huang, M. Ovsjanikov, and L. J. Guibas. Unsupervised multi-class joint image segmentation. In CVPR, 2014.
    • (2014) CVPR
    • Wang, F.1    Huang, Q.2    Ovsjanikov, M.3    Guibas, L.J.4
  • 38
    • 84973858523 scopus 로고    scopus 로고
    • Video object discovery and co-segmentation with extremely weak supervision
    • L. Wang, G. Hua, R. Sukthankar, J. Xue, and N. Zheng. Video object discovery and co-segmentation with extremely weak supervision. In CVPR, 2014.
    • (2014) CVPR
    • Wang, L.1    Hua, G.2    Sukthankar, R.3    Xue, J.4    Zheng, N.5
  • 39
    • 84894532116 scopus 로고    scopus 로고
    • Detecting human action as the spatio-temporal tube of maximum mutual information
    • Feb
    • T. Wang, S. Wang, and X. Ding. Detecting human action as the spatio-temporal tube of maximum mutual information. TCSVT, 24(2):277-290, Feb 2014.
    • (2014) TCSVT , vol.24 , Issue.2 , pp. 277-290
    • Wang, T.1    Wang, S.2    Ding, X.3
  • 40
    • 84887348427 scopus 로고    scopus 로고
    • Online object tracking: A benchmark
    • Y. Wu, J. Lim, and M.-H. Yang. Online object tracking: A benchmark. In CVPR, 2013.
    • (2013) CVPR
    • Wu, Y.1    Lim, J.2    Yang, M.-H.3
  • 42
    • 84867853685 scopus 로고    scopus 로고
    • Propagative Hough voting for human activity recognition
    • G. Yu, J. Yuan, and Z. Liu. Propagative Hough voting for human activity recognition. In ECCV, pages 693-706. 2014.
    • (2014) ECCV , pp. 693-706
    • Yu, G.1    Yuan, J.2    Liu, Z.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.