-
1
-
-
84885606175
-
A survey of appearance models in visual object tracking
-
X. Li, W. Hu, C. Shen, Z. Zhang, A. Dick, and A.V.D. Hengel A survey of appearance models in visual object tracking ACM Trans. Intell. Syst. Technol. 4 4 2013 58:1 58:48
-
(2013)
ACM Trans. Intell. Syst. Technol.
, vol.4
, Issue.4
, pp. 581-5848
-
-
Li, X.1
Hu, W.2
Shen, C.3
Zhang, Z.4
Dick, A.5
Hengel, A.V.D.6
-
2
-
-
34547971961
-
Self-taught learning: Transfer learning from unlabeled data
-
R. Raina, A. Battle, H. Lee, B. Packer, A.Y. Ng, Self-taught learning: transfer learning from unlabeled data, in: Proceedings of International Conference on Machine Learning, 2007, pp. 759-766.
-
(2007)
Proceedings of International Conference on Machine Learning
, pp. 759-766
-
-
Raina, R.1
Battle, A.2
Lee, H.3
Packer, B.4
Ng, A.Y.5
-
3
-
-
39749173057
-
Incremental learning for robust visual tracking
-
D.A. Ross, J. Lim, R.-S. Lin, and M.-H. Yang Incremental learning for robust visual tracking Int. J. Comput. Vis. 77 1-3 2008 125 141
-
(2008)
Int. J. Comput. Vis.
, vol.77
, Issue.1-3
, pp. 125-141
-
-
Ross, D.A.1
Lim, J.2
Lin, R.-S.3
Yang, M.-H.4
-
4
-
-
84875886116
-
Efficient online subspace learning with an indefinite kernel for visual tracking and recognition
-
S. Liwicki, S. Zafeiriou, G. Tzimiropoulos, and M. Pantic Efficient online subspace learning with an indefinite kernel for visual tracking and recognition IEEE Trans. Neural Netw. Learn. Syst. 23 10 2012 1624 1636
-
(2012)
IEEE Trans. Neural Netw. Learn. Syst.
, vol.23
, Issue.10
, pp. 1624-1636
-
-
Liwicki, S.1
Zafeiriou, S.2
Tzimiropoulos, G.3
Pantic, M.4
-
5
-
-
80054978321
-
Correlation-based incremental visual tracking
-
M. Kim Correlation-based incremental visual tracking Pattern Recognit. 45 3 2012 1050 1060
-
(2012)
Pattern Recognit.
, vol.45
, Issue.3
, pp. 1050-1060
-
-
Kim, M.1
-
7
-
-
34548133657
-
Adaptive object tracking based on an effective appearance filter
-
H. Wang, D. Suter, K. Schindler, and C. Shen Adaptive object tracking based on an effective appearance filter IEEE Trans. Pattern Anal. Mach. Intell. 29 9 2007 1661 1667
-
(2007)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.29
, Issue.9
, pp. 1661-1667
-
-
Wang, H.1
Suter, D.2
Schindler, K.3
Shen, C.4
-
9
-
-
84898020313
-
Real-time tracking via on-line boosting
-
BMVA Press, Edinburgh
-
H. Grabner, M. Grabner, H. Bischof, Real-time tracking via on-line boosting, in: Proceedings of the British Machine Vision Conference, vol. 1, BMVA Press, Edinburgh, 2006, pp. 47-56.
-
(2006)
Proceedings of the British Machine Vision Conference
, vol.1
, pp. 47-56
-
-
Grabner, H.1
Grabner, M.2
Bischof, H.3
-
10
-
-
84865817062
-
Boosting scalable gradient features for adaptive real-time tracking
-
D.A. Klein, A.B. Cremers, Boosting scalable gradient features for adaptive real-time tracking, in: Proceedings of IEEE International Conference on Robotics and Automation, IEEE, 2011, pp. 4411-4416.
-
(2011)
Proceedings of IEEE International Conference on Robotics and Automation, IEEE
, pp. 4411-4416
-
-
Klein, D.A.1
Cremers, A.B.2
-
11
-
-
84866051181
-
Real-time visual tracking via online weighted multiple instance learning
-
K. Zhang, and H. Song Real-time visual tracking via online weighted multiple instance learning Pattern Recognit. 46 1 2013 397 411
-
(2013)
Pattern Recognit.
, vol.46
, Issue.1
, pp. 397-411
-
-
Zhang, K.1
Song, H.2
-
12
-
-
50649099635
-
Co-tracking using semi-supervised support vector machines
-
F. Tang, S. Brennan, Q. Zhao, H. Tao, Co-tracking using semi-supervised support vector machines, in: Proceedings of IEEE International Conference on Computer Vision, IEEE, 2007, pp. 1-8.
-
(2007)
Proceedings of IEEE International Conference on Computer Vision, IEEE
, pp. 1-8
-
-
Tang, F.1
Brennan, S.2
Zhao, Q.3
Tao, H.4
-
13
-
-
84856659290
-
Struck: Structured output tracking with kernels
-
S. Hare, A. Saffari, P.H. Torr, Struck: structured output tracking with kernels, in: Proceedings of IEEE International Conference on Computer Vision, IEEE, 2011, pp. 263-270.
-
(2011)
Proceedings of IEEE International Conference on Computer Vision, IEEE
, pp. 263-270
-
-
Hare, S.1
Saffari, A.2
Torr, P.H.3
-
14
-
-
84879854889
-
Representation learning a review and new perspectives
-
Y. Bengio Representation learning a review and new perspectives IEEE Trans. Pattern Anal. Mach. Intell. 35 8 2013 1798 1828
-
(2013)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.35
, Issue.8
, pp. 1798-1828
-
-
Bengio, Y.1
-
15
-
-
84865114495
-
Reading digits in natural images with unsupervised feature learning
-
Y. Netzer, T. Wang, A. Coates, A. Bissacco, B. Wu, A.Y. Ng, Reading digits in natural images with unsupervised feature learning, in: NIPS Workshop on Deep Learning and Unsupervised Feature Learning, 2011.
-
(2011)
NIPS Workshop on Deep Learning and Unsupervised Feature Learning
-
-
Netzer, Y.1
Wang, T.2
Coates, A.3
Bissacco, A.4
Wu, B.5
Ng, A.Y.6
-
16
-
-
80052889296
-
Learning image representations from the pixel level via hierarchical sparse coding
-
K. Yu, Y. Lin, J. Lafferty, Learning image representations from the pixel level via hierarchical sparse coding, in: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, IEEE, 2011, pp. 1713-1720.
-
(2011)
Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, IEEE
, pp. 1713-1720
-
-
Yu, K.1
Lin, Y.2
Lafferty, J.3
-
17
-
-
84862533857
-
Transferring visual prior for online object tracking
-
Q. Wang, F. Chen, J. Yang, W. Xu, and M.-H. Yang Transferring visual prior for online object tracking IEEE Trans. Image Process. 21 7 2012 3296 3305
-
(2012)
IEEE Trans. Image Process.
, vol.21
, Issue.7
, pp. 3296-3305
-
-
Wang, Q.1
Chen, F.2
Yang, J.3
Xu, W.4
Yang, M.-H.5
-
18
-
-
84931581447
-
-
arXiv preprint
-
F. Liu, C. Shen, I. Reid, A.v.d. Hengel, Online unsupervised feature learning for visual tracking, arXiv preprint, arXiv:1310.1690.
-
Online Unsupervised Feature Learning for Visual Tracking
-
-
Liu, F.1
Shen, C.2
Reid, I.3
Hengel, A.V.D.4
-
19
-
-
84881488300
-
Tracking with deep neural networks
-
J. Jonghoon, A. Dundar, J. Bates, C. Farabet, E. Culurciello, Tracking with deep neural networks, in: Proceedings of Conference on Information Sciences and Systems, 2013, pp. 1-5.
-
(2013)
Proceedings of Conference on Information Sciences and Systems
, pp. 1-5
-
-
Jonghoon, J.1
Dundar, A.2
Bates, J.3
Farabet, C.4
Culurciello, E.5
-
21
-
-
71149084945
-
Deep learning from temporal coherence in video
-
H. Mobahi, R. Collobert, J. Weston, Deep learning from temporal coherence in video, in: Proceedings of International Conference on Machine Learning, 2009, pp. 737-744.
-
(2009)
Proceedings of International Conference on Machine Learning
, pp. 737-744
-
-
Mobahi, H.1
Collobert, R.2
Weston, J.3
-
22
-
-
84877777295
-
Deep learning of invariant features via simulated fixations in video
-
W. Zou, A. Ng, S. Zhu, K. Yu, Deep learning of invariant features via simulated fixations in video, in: Proceedings of Conference on Neural Information Processing Systems, 2012, pp. 3212-3220.
-
(2012)
Proceedings of Conference on Neural Information Processing Systems
, pp. 3212-3220
-
-
Zou, W.1
Ng, A.2
Zhu, S.3
Yu, K.4
-
23
-
-
56449089103
-
Extracting and composing robust features with denoising autoencoders
-
P. Vincent, H. Larochelle, Y. Bengio, P.-A. Manzagol, Extracting and composing robust features with denoising autoencoders, in: Proceedings of International Conference on Machine Learning, 2008, pp. 1096-1103.
-
(2008)
Proceedings of International Conference on Machine Learning
, pp. 1096-1103
-
-
Vincent, P.1
Larochelle, H.2
Bengio, Y.3
Manzagol, P.-A.4
-
24
-
-
80053460450
-
Contractive auto-encoders: Explicit invariance during feature extraction
-
S. Rifai, P. Vincent, X. Muller, X. Glorot, Y. Bengio, Contractive auto-encoders: explicit invariance during feature extraction, in: Proceedings of International Conference on Machine Learning, 2011, pp. 833-840.
-
(2011)
Proceedings of International Conference on Machine Learning
, pp. 833-840
-
-
Rifai, S.1
Vincent, P.2
Muller, X.3
Glorot, X.4
Bengio, Y.5
-
25
-
-
80052874098
-
Learning hierarchical invariant spatio-temporal features for action recognition with independent subspace analysis
-
Q.V. Le, W.Y. Zou, S.Y. Yeung, A.Y. Ng, Learning hierarchical invariant spatio-temporal features for action recognition with independent subspace analysis, in: Proceeedings of IEEE Conference on Computer Vision and Pattern Recognition, IEEE, 2011, pp. 3361-3368.
-
(2011)
Proceeedings of IEEE Conference on Computer Vision and Pattern Recognition, IEEE
, pp. 3361-3368
-
-
Le, Q.V.1
Zou, W.Y.2
Yeung, S.Y.3
Ng, A.Y.4
-
26
-
-
85162310599
-
ICA with reconstruction cost for efficient overcomplete feature learning
-
Q.V. Le, A. Karpenko, J. Ngiam, A.Y. Ng, ICA with reconstruction cost for efficient overcomplete feature learning, in: Proceedings of Conference on Neural Information Processing Systems, 2011, pp. 1017-1025.
-
(2011)
Proceedings of Conference on Neural Information Processing Systems
, pp. 1017-1025
-
-
Le, Q.V.1
Karpenko, A.2
Ngiam, J.3
Ng, A.Y.4
-
27
-
-
84862294866
-
Deep sparse rectifier networks
-
X. Glorot, A. Bordes, Y. Bengio, Deep sparse rectifier networks, in: Proceedings of International Conference on Artificial Intelligence and Statistics, vol. 15, 2011, pp. 315-323.
-
(2011)
Proceedings of International Conference on Artificial Intelligence and Statistics
, vol.15
, pp. 315-323
-
-
Glorot, X.1
Bordes, A.2
Bengio, Y.3
-
28
-
-
84858720675
-
Slow, decorrelated features for pretraining complex cell-like networks
-
Y. Bengio, J.S. Bergstra, Slow, decorrelated features for pretraining complex cell-like networks, in: Proceedings of Conference on Neural Information Processing Systems, 2009, pp. 99-107.
-
(2009)
Proceedings of Conference on Neural Information Processing Systems
, pp. 99-107
-
-
Bengio, Y.1
Bergstra, J.S.2
-
29
-
-
34548238604
-
Bilinear models of natural images
-
B.A. Olshausen, C. Cadieu, J. Culpepper, D.K. Warland, Bilinear models of natural images, in: Proceedings of SPIE, vol. 6492, 2007, pp. 649206-649206-10.
-
(2007)
Proceedings of SPIE
, vol.6492
, pp. 649206-64920610
-
-
Olshausen, B.A.1
Cadieu, C.2
Culpepper, J.3
Warland, D.K.4
-
30
-
-
80053437034
-
On optimization methods for deep learning
-
J. Ngiam, A. Coates, A. Lahiri, B. Prochnow, Q.V. Le, A.Y. Ng, On optimization methods for deep learning, in: Proceedings of International Conference on Machine Learning, 2011, pp. 265-272.
-
(2011)
Proceedings of International Conference on Machine Learning
, pp. 265-272
-
-
Ngiam, J.1
Coates, A.2
Lahiri, A.3
Prochnow, B.4
Le, Q.V.5
Ng, A.Y.6
-
32
-
-
84862283411
-
An analysis of single-layer networks in unsupervised feature learning
-
A. Coates, A.Y. Ng, H. Lee, An analysis of single-layer networks in unsupervised feature learning, in: Proceedings of International Conference on Artificial Intelligence and Statistics, 2011, pp. 215-223.
-
(2011)
Proceedings of International Conference on Artificial Intelligence and Statistics
, pp. 215-223
-
-
Coates, A.1
Ng, A.Y.2
Lee, H.3
-
34
-
-
77949524387
-
-
Technical Report 1341, University of Montreal
-
D. Erhan, Y. Bengio, A. Courville, P. Vincent, Visualizing higher-layer features of a deep network, Technical Report 1341, University of Montreal, 2009.
-
(2009)
Visualizing Higher-layer Features of A Deep Network
-
-
Erhan, D.1
Bengio, Y.2
Courville, A.3
Vincent, P.4
-
35
-
-
84887348427
-
Online object tracking: A benchmark
-
Y. Wu, J. Lim, M.-H. Yang, Online object tracking: a benchmark, in: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, IEEE, 2013, pp. 2411-2418.
-
(2013)
Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, IEEE
, pp. 2411-2418
-
-
Wu, Y.1
Lim, J.2
Yang, M.-H.3
-
36
-
-
78651480290
-
Adaptive real-time video-tracking for arbitrary objects
-
D.A. Klein, D. Schulz, S. Frintrop, A.B. Cremers, Adaptive real-time video-tracking for arbitrary objects, in: Proceedings of International Conference on Intelligent Robots and Systems, IEEE, 2010, pp. 772-777.
-
(2010)
Proceedings of International Conference on Intelligent Robots and Systems, IEEE
, pp. 772-777
-
-
Klein, D.A.1
Schulz, D.2
Frintrop, S.3
Cremers, A.B.4
-
37
-
-
84866725281
-
Visual tracking via adaptive structural local sparse appearance model
-
X. Jia, H. Lu, M.-H. Yang, Visual tracking via adaptive structural local sparse appearance model, in: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, IEEE, 2012, pp. 1822-1829.
-
(2012)
Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, IEEE
, pp. 1822-1829
-
-
Jia, X.1
Lu, H.2
Yang, M.-H.3
-
38
-
-
0017951681
-
On the analysis of accumulative difference pictures from image sequences of real world scenes
-
R. Jain, and H.-H. Nagel On the analysis of accumulative difference pictures from image sequences of real world scenes IEEE Trans. Pattern Anal. Mach. Intell. 1 2 1979 206 214
-
(1979)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.1
, Issue.2
, pp. 206-214
-
-
Jain, R.1
Nagel, H.-H.2
-
39
-
-
24944451092
-
On space-time interest points
-
ISSN 0920-5691
-
I. Laptev On space-time interest points Int. J. Comput. Vis. 64 2-3 2005 107 123 ISSN 0920-5691
-
(2005)
Int. J. Comput. Vis.
, vol.64
, Issue.2-3
, pp. 107-123
-
-
Laptev, I.1
-
40
-
-
33845572523
-
Beyond bags of features: Spatial pyramid matching for recognizing natural scene categories
-
S. Lazebnik, C. Schmid, J. Ponce, Beyond bags of features: spatial pyramid matching for recognizing natural scene categories, in: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, IEEE, 2006, pp. 2169-2178.
-
(2006)
Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, IEEE
, pp. 2169-2178
-
-
Lazebnik, S.1
Schmid, C.2
Ponce, J.3
-
41
-
-
77957774108
-
Human tracking using convolutional neural networks
-
J. Fan, W. Xu, Y. Wu, and Y. Gong Human tracking using convolutional neural networks IEEE Trans. Neural Netw. 21 10 2010 1610 1623
-
(2010)
IEEE Trans. Neural Netw.
, vol.21
, Issue.10
, pp. 1610-1623
-
-
Fan, J.1
Xu, W.2
Wu, Y.3
Gong, Y.4
-
42
-
-
0027580559
-
Novel approach to nonlinear/non-Gaussian Bayesian state estimation
-
N. Gordon, D. Salmond, and A.F.M. Smith Novel approach to nonlinear/non-Gaussian Bayesian state estimation IEE Proc. Radar Signal Process. 140 2 1993 107 113
-
(1993)
IEE Proc. Radar Signal Process.
, vol.140
, Issue.2
, pp. 107-113
-
-
Gordon, N.1
Salmond, D.2
Smith, A.F.M.3
-
43
-
-
0036475447
-
A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking
-
M. Arulampalam, S. Maskell, N. Gordon, and T. Clapp A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking IEEE Trans. Signal Process. 50 2 2002 174 188
-
(2002)
IEEE Trans. Signal Process.
, vol.50
, Issue.2
, pp. 174-188
-
-
Arulampalam, M.1
Maskell, S.2
Gordon, N.3
Clapp, T.4
-
44
-
-
84863041148
-
Superpixel tracking
-
S. Wang, H. Lu, F. Yang, M.-H. Yang, Superpixel tracking, in: Proceedings of IEEE International Conference on Computer Vision, ISSN 1550-5499, 2011, pp. 1323-1330.
-
(2011)
Proceedings of IEEE International Conference on Computer Vision
, pp. 1323-1330
-
-
Wang, S.1
Lu, H.2
Yang, F.3
Yang, M.-H.4
-
45
-
-
70450188146
-
Visual tracking with online multiple instance learning
-
B. Babenko, M.-H. Yang, S. Belongie, Visual tracking with online multiple instance learning, in: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, IEEE, 2009, pp. 983-990.
-
(2009)
Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, IEEE
, pp. 983-990
-
-
Babenko, B.1
Yang, M.-H.2
Belongie, S.3
-
46
-
-
84867872820
-
Real-time compressive tracking
-
Springer, Firenze
-
K. Zhang, L. Zhang, M.-H. Yang, Real-time compressive tracking, in: Proceedings of European Conference on Computer Vision, Springer, Firenze, 2012, pp. 864-877.
-
(2012)
Proceedings of European Conference on Computer Vision
, pp. 864-877
-
-
Zhang, K.1
Zhang, L.2
Yang, M.-H.3
-
47
-
-
84884832249
-
Real-Time object tracking via online discriminative feature selection
-
K. Zhang, L. Zhang, and M.-H. Yang Real-Time object tracking via online discriminative feature selection IEEE Trans. Image Process. 22 12 2013 4664 4677
-
(2013)
IEEE Trans. Image Process.
, vol.22
, Issue.12
, pp. 4664-4677
-
-
Zhang, K.1
Zhang, L.2
Yang, M.-H.3
-
48
-
-
84866604392
-
Object tracking via partial least squares analysis
-
Q. Wang, F. Chen, W. Xu, and M.-H. Yang Object tracking via partial least squares analysis IEEE Trans. Image Process. 21 10 2012 4454 4465
-
(2012)
IEEE Trans. Image Process.
, vol.21
, Issue.10
, pp. 4454-4465
-
-
Wang, Q.1
Chen, F.2
Xu, W.3
Yang, M.-H.4
-
49
-
-
84871648489
-
Online object tracking with sparse prototypes
-
D. Wang, H. Lu, and M.-H. Yang Online object tracking with sparse prototypes IEEE Trans. Image Process. 22 1 2013 314 325
-
(2013)
IEEE Trans. Image Process.
, vol.22
, Issue.1
, pp. 314-325
-
-
Wang, D.1
Lu, H.2
Yang, M.-H.3
-
51
-
-
78650994992
-
VLFeat: An open and portable library of computer vision algorithms
-
ACM, Firenze
-
A. Vedaldi, B. Fulkerson, VLFeat: an open and portable library of computer vision algorithms, in: Proceedings of the International Conference on Multimedia, ACM, Firenze, 2010, pp. 1469-1472.
-
(2010)
Proceedings of the International Conference on Multimedia
, pp. 1469-1472
-
-
Vedaldi, A.1
Fulkerson, B.2
|