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Volumn 8695 LNCS, Issue PART 7, 2014, Pages 17-32

Saliency in crowd

Author keywords

crowd; multiple kernel learning; saliency; visual attention

Indexed keywords

DIGITAL STORAGE;

EID: 84906354817     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-10584-0_2     Document Type: Conference Paper
Times cited : (53)

References (43)
  • 2
    • 62649143331 scopus 로고    scopus 로고
    • Saliency, attention, and visual search: An information theoretic approach
    • Bruce, N., Tsotsos, J.: Saliency, attention, and visual search: An information theoretic approach. Journal of Vision 9(3), 5 (2009)
    • (2009) Journal of Vision , vol.9 , Issue.3 , pp. 5
    • Bruce, N.1    Tsotsos, J.2
  • 3
    • 27144489164 scopus 로고    scopus 로고
    • A tutorial on support vector machines for pattern recognition
    • Burges, C.: A tutorial on support vector machines for pattern recognition. Data Mining and Knowledge Discovery 2(2), 121-167 (1998)
    • (1998) Data Mining and Knowledge Discovery , vol.2 , Issue.2 , pp. 121-167
    • Burges, C.1
  • 4
    • 77950357909 scopus 로고    scopus 로고
    • Faces and text attract gaze independent of the task: Experimental data and computer model
    • Cerf, M., Frady, E., Koch, C.: Faces and text attract gaze independent of the task: Experimental data and computer model. Journal of Vision 9(12), 10 (2009)
    • (2009) Journal of Vision , vol.9 , Issue.12 , pp. 10
    • Cerf, M.1    Frady, E.2    Koch, C.3
  • 5
    • 85161958871 scopus 로고    scopus 로고
    • Predicting human gaze using low-level saliency combined with face detection
    • Cerf, M., Harel, J., Einhäuser,W., Koch, C.: Predicting human gaze using low-level saliency combined with face detection. In: NIPS (2008)
    • (2008) NIPS
    • Cerf, M.1    Harel, J.2    Einhäuser, W.3    Koch, C.4
  • 6
    • 0036161011 scopus 로고    scopus 로고
    • Choosing multiple parameters for support vector machines
    • Chapelle, O., Vapnik, V., Bousquet, O., Mukherjee, S.: Choosing multiple parameters for support vector machines. Machine Learning 46(1-3), 131-159 (2002)
    • (2002) Machine Learning , vol.46 , Issue.1-3 , pp. 131-159
    • Chapelle, O.1    Vapnik, V.2    Bousquet, O.3    Mukherjee, S.4
  • 7
    • 77957749371 scopus 로고    scopus 로고
    • What and where: A bayesian inference theory of attention
    • Chikkerur, S., Serre, T., Tan, C., Poggio, T.: What and where: a bayesian inference theory of attention. Vision Research 50(22), 2233-2247 (2010)
    • (2010) Vision Research , vol.50 , Issue.22 , pp. 2233-2247
    • Chikkerur, S.1    Serre, T.2    Tan, C.3    Poggio, T.4
  • 8
    • 56849086466 scopus 로고    scopus 로고
    • Objects predict fixations better than early saliency
    • Einhäuser, W., Spain, M., Perona, P.: Objects predict fixations better than early saliency. Journal of Vision 8(14), 18 (2008)
    • (2008) Journal of Vision , vol.8 , Issue.14 , pp. 18
    • Einhäuser, W.1    Spain, M.2    Perona, P.3
  • 10
    • 0000929221 scopus 로고
    • What is the goal of sensory coding?
    • Field, D.J.: What is the goal of sensory coding? Neural Computation 6, 559-601 (1994)
    • (1994) Neural Computation , vol.6 , pp. 559-601
    • Field, D.J.1
  • 11
    • 79956010071 scopus 로고    scopus 로고
    • The discriminant center-surround hypothesis for bottom-up saliency
    • Gao, D., Mahadevan, V., Vasconcelos, N.: The discriminant center-surround hypothesis for bottom-up saliency. In: NIPS (2007)
    • (2007) NIPS
    • Gao, D.1    Mahadevan, V.2    Vasconcelos, N.3
  • 12
    • 84856473161 scopus 로고    scopus 로고
    • Saliency from hierarchical adaptation through decorrelation and variance normalization
    • Garcia-Diaz, A., Fdez-Vidal, X.R., Pardo, X.M., Dosil, R.: Saliency from hierarchical adaptation through decorrelation and variance normalization. Image and Vision Computing 30(1), 51-64 (2012)
    • (2012) Image and Vision Computing , vol.30 , Issue.1 , pp. 51-64
    • Garcia-Diaz, A.1    Fdez-Vidal, X.R.2    Pardo, X.M.3    Dosil, R.4
  • 13
    • 84864037603 scopus 로고    scopus 로고
    • Graph-based visual saliency
    • Harel, J., Koch, C., Perona, P.: Graph-based visual saliency. In: NIPS (2007)
    • (2007) NIPS
    • Harel, J.1    Koch, C.2    Perona, P.3
  • 14
    • 81855172211 scopus 로고    scopus 로고
    • Image signature: Highlighting sparse salient regions
    • Hou, X., Harel, J., Koch, C.: Image signature: Highlighting sparse salient regions. TPAMI 34(1), 194-201 (2012)
    • (2012) TPAMI , vol.34 , Issue.1 , pp. 194-201
    • Hou, X.1    Harel, J.2    Koch, C.3
  • 15
    • 0042826822 scopus 로고    scopus 로고
    • Independent component analysis: Algorithms and applications
    • Hyvarinen, A., Oja, E.: Independent component analysis: algorithms and applications. Neural Networks 13(4-5), 411-430 (2000)
    • (2000) Neural Networks , vol.13 , Issue.4-5 , pp. 411-430
    • Hyvarinen, A.1    Oja, E.2
  • 16
    • 33750734547 scopus 로고    scopus 로고
    • Bayesian surprise attracts human attention
    • Itti, L., Baldi, P.: Bayesian surprise attracts human attention. In: NIPS (2006)
    • (2006) NIPS
    • Itti, L.1    Baldi, P.2
  • 17
    • 0032204063 scopus 로고    scopus 로고
    • A model for saliency-based visual attention for rapid scene analysis
    • Itti, L., Koch, C., Niebur, E.: A model for saliency-based visual attention for rapid scene analysis. T-PAMI 20(11), 1254-1259 (1998)
    • (1998) T-PAMI , vol.20 , Issue.11 , pp. 1254-1259
    • Itti, L.1    Koch, C.2    Niebur, E.3
  • 20
    • 85158011413 scopus 로고    scopus 로고
    • A nonparametric approach to bottomup visual saliency
    • Kienzle, W., Wichmann, F., Scholkopf, B., Franz, M.: A nonparametric approach to bottomup visual saliency. In: NIPS (2006)
    • (2006) NIPS
    • Kienzle, W.1    Wichmann, F.2    Scholkopf, B.3    Franz, M.4
  • 21
    • 0022388528 scopus 로고
    • Shifts in selective visual attention: Towards the underlying neural circuitry
    • Koch, C., Ullman, S.: Shifts in selective visual attention: towards the underlying neural circuitry. Human Neurobiology 4(4), 219-227 (1985)
    • (1985) Human Neurobiology , vol.4 , Issue.4 , pp. 219-227
    • Koch, C.1    Ullman, S.2
  • 22
    • 84890419942 scopus 로고    scopus 로고
    • Anomaly detection and localization in crowded scenes
    • Li, W., Mahadevan, V., Vasconcelos, N.: Anomaly detection and localization in crowded scenes. T-PAMI 36(1), 18-32 (2014)
    • (2014) T-PAMI , vol.36 , Issue.1 , pp. 18-32
    • Li, W.1    Mahadevan, V.2    Vasconcelos, N.3
  • 23
    • 74949088082 scopus 로고    scopus 로고
    • Spatiotemporal saliency in highly dynamic scenes
    • Mahadevan, V., Vasconcelos, N.: Spatiotemporal saliency in highly dynamic scenes. TPAMI 32(1), 171-177 (2010)
    • (2010) TPAMI , vol.32 , Issue.1 , pp. 171-177
    • Mahadevan, V.1    Vasconcelos, N.2
  • 24
    • 78649973236 scopus 로고    scopus 로고
    • Attention-based dense crowds analysis
    • Mancas, M.: Attention-based dense crowds analysis. In: WIAMIS (2010)
    • (2010) WIAMIS
    • Mancas, M.1
  • 26
    • 79952645933 scopus 로고    scopus 로고
    • Object-based attentional selection in scene viewing
    • Nuthmann, A., Henderson, J.: Object-based attentional selection in scene viewing. Journal of Vision 10(8), 20 (2010)
    • (2010) Journal of Vision , vol.10 , Issue.8 , pp. 20
    • Nuthmann, A.1    Henderson, J.2
  • 28
    • 0036160528 scopus 로고    scopus 로고
    • Modeling the role of salience in the allocation of overt visual attention
    • Parkhurst, D., Law, K., Niebur, E.: Modeling the role of salience in the allocation of overt visual attention. Vision Research 42(1), 107-123 (2002)
    • (2002) Vision Research , vol.42 , Issue.1 , pp. 107-123
    • Parkhurst, D.1    Law, K.2    Niebur, E.3
  • 29
    • 20544446875 scopus 로고    scopus 로고
    • Components of bottom-up gaze allocation in natural images
    • Peters, R., Iyer, A., Itti, L., Koch, C.: Components of bottom-up gaze allocation in natural images. Vision Research 45(18), 2397-2416 (2005)
    • (2005) Vision Research , vol.45 , Issue.18 , pp. 2397-2416
    • Peters, R.1    Iyer, A.2    Itti, L.3    Koch, C.4
  • 30
    • 28344450126 scopus 로고    scopus 로고
    • Contrast statistics for foveated visual systems: Fixation selection by minimizing contrast entropy
    • Raj, R., Geisler, W., Frazor, R., Bovik, A.: Contrast statistics for foveated visual systems: Fixation selection by minimizing contrast entropy. Journal of the Optical Society of America A 22(10), 2039-2049 (2005)
    • (2005) Journal of the Optical Society of America A , vol.22 , Issue.10 , pp. 2039-2049
    • Raj, R.1    Geisler, W.2    Frazor, R.3    Bovik, A.4
  • 31
    • 84887331360 scopus 로고    scopus 로고
    • Learning video saliency from human gaze using candidate selection
    • Rudoy, D., Goldman, D.B., Shechtman, E., Zelnik-Manor, L.: Learning video saliency from human gaze using candidate selection. In: CVPR (2013)
    • (2013) CVPR
    • Rudoy, D.1    Goldman, D.B.2    Shechtman, E.3    Zelnik-Manor, L.4
  • 32
    • 77950364024 scopus 로고    scopus 로고
    • Static and space-time visual saliency detection by self-resemblance
    • Seo, H., Milanfar, P.: Static and space-time visual saliency detection by self-resemblance. Journal of Vision 9(12), 15 (2009)
    • (2009) Journal of Vision , vol.9 , Issue.12 , pp. 15
    • Seo, H.1    Milanfar, P.2
  • 33
    • 36448979181 scopus 로고    scopus 로고
    • The central fixation bias in scene viewing: Selecting an optimal viewing position independently of motor biases and image feature distributions
    • Tatler, B.W.: The central fixation bias in scene viewing: Selecting an optimal viewing position independently of motor biases and image feature distributions. Journal of Vision 7(14), 4 (2007)
    • (2007) Journal of Vision , vol.7 , Issue.14 , pp. 4
    • Tatler, B.W.1
  • 34
    • 11144343233 scopus 로고    scopus 로고
    • Visual correlates of fixation selection: Effects of scale and time
    • Tatler, B.W., Baddeley, R., Gilchrist, I.: Visual correlates of fixation selection: Effects of scale and time. Vision Research 45(5), 643-659 (2005)
    • (2005) Vision Research , vol.45 , Issue.5 , pp. 643-659
    • Tatler, B.W.1    Baddeley, R.2    Gilchrist, I.3
  • 35
    • 0018878142 scopus 로고
    • A feature-integration theory of attention
    • Treisman, A.M., Gelade, G.: A feature-integration theory of attention. Cognitive Psychology 12(1), 97-136 (1980)
    • (1980) Cognitive Psychology , vol.12 , Issue.1 , pp. 97-136
    • Treisman, A.M.1    Gelade, G.2
  • 36
    • 0035341234 scopus 로고    scopus 로고
    • Neural correlates of attention in primate visual cortex
    • Treue, S.: Neural correlates of attention in primate visual cortex. Trends in Neurosciences 24(5), 295-300 (2001)
    • (2001) Trends in Neurosciences , vol.24 , Issue.5 , pp. 295-300
    • Treue, S.1
  • 37
    • 0035680116 scopus 로고    scopus 로고
    • Rapid object detection using a boosted cascade of simple features
    • Viola, P., Jones, M.: Rapid object detection using a boosted cascade of simple features. In: CVPR (2001)
    • (2001) CVPR
    • Viola, P.1    Jones, M.2
  • 38
    • 58149506125 scopus 로고    scopus 로고
    • Sun: A bayesian framework for saliency using natural statistics
    • Zhang, L., Tong, M., Marks, T., Shan, H., Cottrell, G.: Sun: A bayesian framework for saliency using natural statistics. Journal of Vision 8(7), 32 (2008)
    • (2008) Journal of Vision , vol.8 , Issue.7 , pp. 32
    • Zhang, L.1    Tong, M.2    Marks, T.3    Shan, H.4    Cottrell, G.5
  • 39
    • 79957836414 scopus 로고    scopus 로고
    • Learning a saliency map using fixated locations in natural scenes
    • Zhao, Q., Koch, C.: Learning a saliency map using fixated locations in natural scenes. Journal of Vision 11(3), 9 (2011)
    • (2011) Journal of Vision , vol.11 , Issue.3 , pp. 9
    • Zhao, Q.1    Koch, C.2
  • 40
    • 84865657272 scopus 로고    scopus 로고
    • Learning visual saliency by combining feature maps in a nonlinear manner using adaboost
    • Zhao, Q., Koch, C.: Learning visual saliency by combining feature maps in a nonlinear manner using adaboost. Journal of Vision 12(6), 22 (2012)
    • (2012) Journal of Vision , vol.12 , Issue.6 , pp. 22
    • Zhao, Q.1    Koch, C.2
  • 41
    • 84866667680 scopus 로고    scopus 로고
    • Face detection, pose estimation, and landmark localization in the wild
    • Zhu, X., Ramanan, D.: Face detection, pose estimation, and landmark localization in the wild. In: CVPR (2012)
    • (2012) CVPR
    • Zhu, X.1    Ramanan, D.2
  • 43
    • 84893602014 scopus 로고    scopus 로고
    • Leveraging Human Fixations in Sparse Coding: Learning a Discriminative Dictionary for Saliency Prediction
    • Jiang, M., Song, M., Zhao, Q.: Leveraging Human Fixations in Sparse Coding: Learning a Discriminative Dictionary for Saliency Prediction. In: SMC (2013) Singapore
    • (2013) SMC
    • Jiang, M.1    Song, M.2    Zhao, Q.3


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