메뉴 건너뛰기




Volumn 8691 LNCS, Issue PART 3, 2014, Pages 188-203

Transfer learning based visual tracking with Gaussian processes regression

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; GAUSSIAN DISTRIBUTION; GAUSSIAN NOISE (ELECTRONIC); REGRESSION ANALYSIS;

EID: 84906510679     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-10578-9_13     Document Type: Conference Paper
Times cited : (417)

References (47)
  • 1
    • 33845596140 scopus 로고    scopus 로고
    • Robust fragments-based tracking using the integral histogram
    • Adam, A., Rivlin, E., Shimshoni, I.: Robust fragments-based tracking using the integral histogram. In: CVPR (2006)
    • (2006) CVPR
    • Adam, A.1    Rivlin, E.2    Shimshoni, I.3
  • 2
    • 70450188146 scopus 로고    scopus 로고
    • Visual tracking with online multiple instance learning
    • Babenko, B., Yang, M.-H., Belongie, S.: Visual tracking with online multiple instance learning. In: CVPR (2009)
    • (2009) CVPR
    • Babenko, B.1    Yang, M.-H.2    Belongie, S.3
  • 3
    • 84866285609 scopus 로고    scopus 로고
    • 1 tracker using accelerated proximal gradient approach
    • 1 tracker using accelerated proximal gradient approach. In: CVPR (2012)
    • (2012) CVPR
    • Bao, C.1    Wu, Y.2    Ling, H.3    Ji, H.4
  • 4
    • 80052910974 scopus 로고    scopus 로고
    • Context tracker: Exploring supporters and distracters in unconstrained environments
    • Dinh, T.B., Vo, N., Medioni, G.: Context tracker: Exploring supporters and distracters in unconstrained environments. In: CVPR (2011)
    • (2011) CVPR
    • Dinh, T.B.1    Vo, N.2    Medioni, G.3
  • 7
    • 56749152262 scopus 로고    scopus 로고
    • Semi-supervised on-line boosting for robust tracking
    • Forsyth, D., Torr, P., Zisserman, A. (eds.) ECCV 2008, Part I. Springer, Heidelberg
    • Grabner, H., Leistner, C., Bischof, H.: Semi-supervised on-line boosting for robust tracking. In: Forsyth, D., Torr, P., Zisserman, A. (eds.) ECCV 2008, Part I. LNCS, vol. 5302, pp. 234-247. Springer, Heidelberg (2008)
    • (2008) LNCS , vol.5302 , pp. 234-247
    • Grabner, H.1    Leistner, C.2    Bischof, H.3
  • 9
    • 84887381620 scopus 로고    scopus 로고
    • Visual tracking via locality sensitive histograms
    • He, S., Yang, Q., Lau, R., Wang, J., Yang, M.-H.: Visual tracking via locality sensitive histograms. In: CVPR (2013)
    • (2013) CVPR
    • He, S.1    Yang, Q.2    Lau, R.3    Wang, J.4    Yang, M.-H.5
  • 10
    • 84867840191 scopus 로고    scopus 로고
    • Exploiting the circulant structure of tracking-by-detection with kernels
    • Fitzgibbon, A., Lazebnik, S., Perona, P., Sato, Y., Schmid, C. (eds.) ECCV 2012, Part IV. Springer, Heidelberg
    • Henriques, J.F., Caseiro, R., Martins, P., Batista, J.: Exploiting the circulant structure of tracking-by-detection with kernels. In: Fitzgibbon, A., Lazebnik, S., Perona, P., Sato, Y., Schmid, C. (eds.) ECCV 2012, Part IV. LNCS, vol. 7575, pp. 702-715. Springer, Heidelberg (2012)
    • (2012) LNCS , vol.7575 , pp. 702-715
    • Henriques, J.F.1    Caseiro, R.2    Martins, P.3    Batista, J.4
  • 12
    • 84867787204 scopus 로고    scopus 로고
    • Single and multiple object tracking using log-euclidean riemannian subspace and block-division appearance model
    • Hu, W., Li, X., Luo, W., Zhang, X., Maybank, S., Zhang, Z.: Single and multiple object tracking using log-euclidean riemannian subspace and block-division appearance model. Trans. on PAMI 34(12), 2420-2440 (2012)
    • (2012) Trans. on PAMI , vol.34 , Issue.12 , pp. 2420-2440
    • Hu, W.1    Li, X.2    Luo, W.3    Zhang, X.4    Maybank, S.5    Zhang, Z.6
  • 13
    • 0032136153 scopus 로고    scopus 로고
    • Condensation - Conditional density propagation for visual tracking
    • Isard, M., Blake, A.: Condensation - conditional density propagation for visual tracking. International Journal of Computer Vision 29(1), 5-28 (1998)
    • (1998) International Journal of Computer Vision , vol.29 , Issue.1 , pp. 5-28
    • Isard, M.1    Blake, A.2
  • 14
    • 84866725281 scopus 로고    scopus 로고
    • Visual tracking via adaptive structural local sparse appearance model
    • Jia, X., Lu, H., Yang, M.-H.: Visual tracking via adaptive structural local sparse appearance model. In: CVPR (2012)
    • (2012) CVPR
    • Jia, X.1    Lu, H.2    Yang, M.-H.3
  • 15
    • 84861312439 scopus 로고    scopus 로고
    • Tracking-learning-detection
    • Kalal, Z., Mikolajczyk, K., Matas, J.: Tracking-learning-detection. Trans. on PAMI 34(7), 1409-1422 (2012)
    • (2012) Trans. on PAMI , vol.34 , Issue.7 , pp. 1409-1422
    • Kalal, Z.1    Mikolajczyk, K.2    Matas, J.3
  • 17
    • 77955995205 scopus 로고    scopus 로고
    • Visual tracking decomposition
    • Kwon, J., Lee, K.M.: Visual tracking decomposition. In: CVPR (2010)
    • (2010) CVPR
    • Kwon, J.1    Lee, K.M.2
  • 19
    • 84887362338 scopus 로고    scopus 로고
    • Minimum uncertainty gap for robust visual tracking
    • Kwon, J., Lee, K.M.: Minimum uncertainty gap for robust visual tracking. In: CVPR (2013)
    • (2013) CVPR
    • Kwon, J.1    Lee, K.M.2
  • 20
    • 84863027027 scopus 로고    scopus 로고
    • Treat samples differently: Object tracking with semi-supervised online covboost
    • Li, G., Qin, L., Huang, Q., Pang, J., Jiang, S.: Treat samples differently: object tracking with semi-supervised online covboost. In: ICCV (2011)
    • ICCV (2011)
    • Li, G.1    Qin, L.2    Huang, Q.3    Pang, J.4    Jiang, S.5
  • 21
    • 84887340257 scopus 로고    scopus 로고
    • Learning compact binary codes for visual tracking
    • Li, X., Shen, C., Dick, A., van den Hengel, A.: Learning compact binary codes for visual tracking. In: CVPR (2013)
    • (2013) CVPR
    • Li, X.1    Shen, C.2    Dick, A.3    Van Den Hengel, A.4
  • 22
    • 84866663077 scopus 로고    scopus 로고
    • Non-sparse linear representations for visual tracking with online reservoir metric learning
    • Li, X., Shen, C., Shi, Q., Dick, A., van den Hengel, A.: Non-sparse linear representations for visual tracking with online reservoir metric learning. In: CVPR (2012)
    • (2012) CVPR
    • Li, X.1    Shen, C.2    Shi, Q.3    Dick, A.4    Van Den Hengel, A.5
  • 23
    • 34948825409 scopus 로고    scopus 로고
    • Tracking in low frame rate video: A cascade particle filter with discriminative observers of different lifespans
    • Li, Y., Ai, H., Yamashita, T., Lao, S., Kawade, M.: Tracking in low frame rate video: A cascade particle filter with discriminative observers of different lifespans. In: CVPR (2007)
    • (2007) CVPR
    • Li, Y.1    Ai, H.2    Yamashita, T.3    Lao, S.4    Kawade, M.5
  • 24
    • 80052879604 scopus 로고    scopus 로고
    • Robust tracking using local sparse appearance model and k-selection
    • Liu, B., Huang, J., Yang, L., Kulikowsk, C.: Robust tracking using local sparse appearance model and k-selection. In: CVPR (2011)
    • (2011) CVPR
    • Liu, B.1    Huang, J.2    Yang, L.3    Kulikowsk, C.4
  • 25
    • 80053126093 scopus 로고    scopus 로고
    • Robust visual tracking and vehicle classification via sparse representation
    • Mei, X., Ling, H.: Robust visual tracking and vehicle classification via sparse representation. Trans. on PAMI 33(11), 2259-2272 (2011)
    • (2011) Trans. on PAMI , vol.33 , Issue.11 , pp. 2259-2272
    • Mei, X.1    Ling, H.2
  • 28
    • 84898798671 scopus 로고    scopus 로고
    • Finding the best from the second bests - Inhibiting subjective bias in evaluation of visual tracking algorithms
    • Pang, Y., Ling, H.: Finding the best from the second bests - inhibiting subjective bias in evaluation of visual tracking algorithms. In: ICCV (2013)
    • ICCV (2013)
    • Pang, Y.1    Ling, H.2
  • 29
    • 39749173057 scopus 로고    scopus 로고
    • Incremental learning for robust visual tracking
    • Ross, D.A., Lim, J., Lin, R., Yang, M.-H.: Incremental learning for robust visual tracking. Int. J. Comp. Vis. 77(1), 125-141 (2008)
    • (2008) Int. J. Comp. Vis. , vol.77 , Issue.1 , pp. 125-141
    • Ross, D.A.1    Lim, J.2    Lin, R.3    Yang, M.-H.4
  • 30
    • 84898775168 scopus 로고    scopus 로고
    • Tracking revisited using rgbd camera: Unified benchmark and baselines
    • Song, S., Xiao, J.: Tracking revisited using rgbd camera: Unified benchmark and baselines. In: ICCV (2013)
    • ICCV (2013)
    • Song, S.1    Xiao, J.2
  • 31
    • 84887368146 scopus 로고    scopus 로고
    • Self-paced learning for long-term tracking
    • Supančič, J.S., Ramanan, D.: Self-paced learning for long-term tracking. In: CVPR (2013)
    • (2013) CVPR
    • Supančič, J.S.1    Ramanan, D.2
  • 32
    • 84885836685 scopus 로고    scopus 로고
    • Least soft-thresold squares tracking
    • Wang, D., Lu, H., Yang, M.-H.: Least soft-thresold squares tracking. In: CVPR (2013)
    • (2013) CVPR
    • Wang, D.1    Lu, H.2    Yang, M.-H.3
  • 33
    • 84898957022 scopus 로고    scopus 로고
    • Learning a deep compact image representation for visual tracking
    • Wang, N., Yeung, D.Y.: Learning a deep compact image representation for visual tracking. In: NIPS (2013)
    • (2013) NIPS
    • Wang, N.1    Yeung, D.Y.2
  • 34
    • 84862533857 scopus 로고    scopus 로고
    • Transferring visual prior for online object tracking
    • Wang, Q., Chen, F., Yang, J., Xu, W., Yang, M.-H.: Transferring visual prior for online object tracking. Trans. on IP 21(7), 3296-3305 (2012)
    • (2012) Trans. on IP , vol.21 , Issue.7 , pp. 3296-3305
    • Wang, Q.1    Chen, F.2    Yang, J.3    Xu, W.4    Yang, M.-H.5
  • 35
    • 84887348427 scopus 로고    scopus 로고
    • Online object tracking: A benchmark
    • Wu, Y., Lim, J., Yang, M.-H.: Online object tracking: A benchmark. In: CVPR (2013)
    • (2013) CVPR
    • Wu, Y.1    Lim, J.2    Yang, M.-H.3
  • 36
    • 84898788540 scopus 로고    scopus 로고
    • Robust object tracking with online multi-lifespan dictionary learning
    • Xing, J., Gao, J., Li, B., Hu, W., Yan, S.: Robust object tracking with online multi-lifespan dictionary learning. In: ICCV (2013)
    • ICCV (2013)
    • Xing, J.1    Gao, J.2    Li, B.3    Hu, W.4    Yan, S.5
  • 37
    • 84887383332 scopus 로고    scopus 로고
    • Part-based visual tracking with online latent structural learning
    • Yao, R., Shi, Q., Shen, C., Zhang, Y., van den Hengel, A.: Part-based visual tracking with online latent structural learning. In: CVPR (2013)
    • (2013) CVPR
    • Yao, R.1    Shi, Q.2    Shen, C.3    Zhang, Y.4    Van Den Hengel, A.5
  • 38
    • 77955998024 scopus 로고    scopus 로고
    • Boosting for transfer learning with multiple sources
    • Yao, Y., Doretto, G.: Boosting for transfer learning with multiple sources. In: CVPR (2010)
    • (2010) CVPR
    • Yao, Y.1    Doretto, G.2
  • 40
    • 84898995558 scopus 로고    scopus 로고
    • Self-tuning spectral clustering
    • Zelnik-Manor, L., Perona, P.: Self-tuning spectral clustering. In: NIPS (2005)
    • (2005) NIPS
    • Zelnik-Manor, L.1    Perona, P.2
  • 41
    • 84867872820 scopus 로고    scopus 로고
    • Real-time compressive tracking
    • Fitzgibbon, A., Lazebnik, S., Perona, P., Sato, Y., Schmid, C. (eds.) ECCV 2012, Part III. Springer, Heidelberg
    • Zhang, K., Zhang, L., Yang, M.-H.: Real-time compressive tracking. In: Fitzgibbon, A., Lazebnik, S., Perona, P., Sato, Y., Schmid, C. (eds.) ECCV 2012, Part III. LNCS, vol. 7574, pp. 864-877. Springer, Heidelberg (2012)
    • (2012) LNCS , vol.7574 , pp. 864-877
    • Zhang, K.1    Zhang, L.2    Yang, M.-H.3
  • 42
    • 84887395053 scopus 로고    scopus 로고
    • Structure preserving object tracking
    • Zhang, L., van der Maaten, L.: Structure preserving object tracking. In: CVPR (2013)
    • (2013) CVPR
    • Zhang, L.1    Van Der Maaten, L.2
  • 43
    • 84867865809 scopus 로고    scopus 로고
    • Low-rank sparse learning for robust visual tracking
    • Fitzgibbon, A., Lazebnik, S., Perona, P., Sato, Y., Schmid, C. (eds.) ECCV 2012, Part VI. Springer, Heidelberg
    • Zhang, T., Ghanem, B., Liu, S., Ahuja, N.: Low-rank sparse learning for robust visual tracking. In: Fitzgibbon, A., Lazebnik, S., Perona, P., Sato, Y., Schmid, C. (eds.) ECCV 2012, Part VI. LNCS, vol. 7577, pp. 470-484. Springer, Heidelberg (2012)
    • (2012) LNCS , vol.7577 , pp. 470-484
    • Zhang, T.1    Ghanem, B.2    Liu, S.3    Ahuja, N.4
  • 44
    • 84866678444 scopus 로고    scopus 로고
    • Robust visual tracking via multi-task sparse learning
    • Zhang, T., Ghanem, B., Liu, S., Ahuja, N.: Robust visual tracking via multi-task sparse learning. In: CVPR (2012)
    • (2012) CVPR
    • Zhang, T.1    Ghanem, B.2    Liu, S.3    Ahuja, N.4
  • 45
    • 84866648566 scopus 로고    scopus 로고
    • Robust object tracking via sparsity-based collaborative model
    • Zhong, W., Lu, H., Yang, M.-H.: Robust object tracking via sparsity-based collaborative model. In: CVPR (2012)
    • (2012) CVPR
    • Zhong, W.1    Lu, H.2    Yang, M.-H.3
  • 46
    • 1942484430 scopus 로고    scopus 로고
    • Semi-supervised learning using gaussian fields and harmonic functions
    • Zhu, X., Ghahramani, Z., Lafferty, J.: Semi-supervised learning using gaussian fields and harmonic functions. In: ICML (2003)
    • ICML (2003)
    • Zhu, X.1    Ghahramani, Z.2    Lafferty, J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.