-
1
-
-
79959527478
-
Robust object tracking with online multiple instance learning
-
B. Babenko, M.-H. Yang, and S. Belongie. Robust Object Tracking with Online Multiple Instance Learning. TPAMI, 33 (8), 2011.
-
(2011)
TPAMI
, vol.33
, Issue.8
-
-
Babenko, B.1
Yang, M.-H.2
Belongie, S.3
-
2
-
-
70350606550
-
Robust real-time visual tracking using pixel-wise posteriors
-
C. Bibby and I. Reid. Robust Real-Time Visual Tracking using Pixel-Wise Posteriors. In ECCV, 2008.
-
(2008)
ECCV
-
-
Bibby, C.1
Reid, I.2
-
3
-
-
70350619001
-
Learning to localize objects with structured output regression
-
M. B. Blaschko and C. H. Lampert. Learning to localize objects with structured output regression. In ECCV, 2008.
-
(2008)
ECCV
-
-
Blaschko, M.B.1
Lampert, C.H.2
-
6
-
-
84913558459
-
Robust deformable and occluded object tracking with dynamic graph
-
Z. Cai, L. Wen, Z. Lei, N. Vasconcelos, and S. Z. Li. Robust Deformable and Occluded Object Tracking With Dynamic Graph. TIP, 23 (12), 2014.
-
(2014)
TIP
, vol.23
, Issue.12
-
-
Cai, Z.1
Wen, L.2
Lei, Z.3
Vasconcelos, N.4
Li, S.Z.5
-
7
-
-
33645146449
-
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
-
-
84973922861
-
Learning spatially regularized correlation filters for visual tracking
-
M. Danelljan, G. Häger, F. S. Khan, and M. Felsberg. Learning Spatially Regularized Correlation Filters for Visual Tracking. In ICCV, 2015.
-
(2015)
ICCV
-
-
Danelljan, M.1
Häger, G.2
Khan, F.S.3
Felsberg, M.4
-
11
-
-
84898822561
-
PixelTrack: A fast adaptive algorithm for tracking non-rigid objects
-
S. Duffner and C. Garcia. PixelTrack: A fast adaptive algorithm for tracking non-rigid objects. In ICCV, 2013.
-
(2013)
ICCV
-
-
Duffner, S.1
Garcia, C.2
-
12
-
-
84896368278
-
Zero-aliasing correlation filters
-
J. Fernandez, B. Kumar, et al. Zero-Aliasing Correlation Filters. In ISPA, 2013.
-
(2013)
ISPA
-
-
Fernandez, J.1
Kumar, B.2
-
13
-
-
84956699399
-
Transfer learning based visual tracking with Gaussian processes regression
-
J. Gao, H. Ling, W. Hu, and J. Xing. Transfer Learning Based Visual Tracking with Gaussian Processes Regression. In ECCV. 2014.
-
(2014)
ECCV
-
-
Gao, J.1
Ling, H.2
Hu, W.3
Xing, J.4
-
14
-
-
84885375240
-
Hough-based tracking of non-rigid objects
-
M. Godec, P. M. Roth, and H. Bischof. Hough-based Tracking of Non-Rigid Objects. CVIU, 117 (10), 2013.
-
(2013)
CVIU
, vol.117
, Issue.10
-
-
Godec, M.1
Roth, P.M.2
Bischof, H.3
-
15
-
-
70350531007
-
Semi-supervised on-line boosting for robust tracking
-
H. Grabner, C. Leistner, and H. Bischof. Semi-Supervised On-line Boosting for Robust Tracking. In ECCV, 2008.
-
(2008)
ECCV
-
-
Grabner, H.1
Leistner, C.2
Bischof, H.3
-
16
-
-
84856659290
-
Struck: Structured output tracking with kernels
-
S. Hare, A. Saffari, and P. H. Torr. Struck: Structured Output Tracking with Kernels. In ICCV, 2011.
-
(2011)
ICCV
-
-
Hare, S.1
Saffari, A.2
Torr, P.H.3
-
17
-
-
84898831806
-
Beyond hard negative mining: Efficient detector learning via block-circulant decomposition
-
J. F. Henriques, J. Carreira, R. Caseiro, and J. Batista. Beyond Hard Negative Mining: Efficient Detector Learning via Block-Circulant Decomposition. In ICCV, 2013.
-
(2013)
ICCV
-
-
Henriques, J.F.1
Carreira, J.2
Caseiro, R.3
Batista, J.4
-
20
-
-
84959254211
-
MUlti-store tracker (MUSTer): A cognitive psychology inspired approach to object tracking
-
Z. Hong, Z. Chen, C. Wang, X. Mei, D. Prokhorov, and D. Tao. MUlti-Store Tracker (MUSTer): A Cognitive Psychology Inspired Approach to Object Tracking. In CVPR, 2015.
-
(2015)
CVPR
-
-
Hong, Z.1
Chen, Z.2
Wang, C.3
Mei, X.4
Prokhorov, D.5
Tao, D.6
-
23
-
-
84959251814
-
Correlation filters with limited boundaries
-
H. Kiani Galoogahi, T. Sim, and S. Lucey. Correlation Filters with Limited Boundaries. In CVPR, 2015.
-
(2015)
CVPR
-
-
Kiani Galoogahi, H.1
Sim, T.2
Lucey, S.3
-
24
-
-
84996899169
-
The visual object tracking vot2014 challenge results
-
M. Kristan et al. The Visual Object Tracking VOT2014 challenge results. In ECCV, 2014.
-
(2014)
ECCV
-
-
Kristan, M.1
-
25
-
-
84949247277
-
-
arXiv preprint arXiv: 1503. 01313v2
-
M. Kristan, J. Matas, A. Leonardis, T. Vojir, R. Pflugfelder, G. Fernandez, G. Nebehay, F. Porikli, and L. Cehovin. A Novel Performance Evaluation Methodology for Single-Target Trackers. ArXiv preprint arXiv: 1503. 01313v2, 2015.
-
(2015)
A Novel Performance Evaluation Methodology for Single-Target Trackers
-
-
Kristan, M.1
Matas, J.2
Leonardis, A.3
Vojir, T.4
Pflugfelder, R.5
Fernandez, G.6
Nebehay, G.7
Porikli, F.8
Cehovin, L.9
-
26
-
-
84897510119
-
The visual object tracking vot2013 challenge results
-
M. Kristan, R. Pflugfelder, A. Leonardis, J. Matas, F. Porikli, L. Cehovin, G. Nebehay, G. Fernandez, T. Vojir, A. Gatt, et al. The Visual Object Tracking VOT2013 challenge results. In ICCVW, 2013.
-
(2013)
ICCVW
-
-
Kristan, M.1
Pflugfelder, R.2
Leonardis, A.3
Matas, J.4
Porikli, F.5
Cehovin, L.6
Nebehay, G.7
Fernandez, G.8
Vojir, T.9
Gatt, A.10
-
27
-
-
77955995205
-
Visual tracking decomposition
-
J. Kwon and K. M. Lee. Visual Tracking Decomposition. In CVPR, 2010.
-
(2010)
CVPR
-
-
Kwon, J.1
Lee, K.M.2
-
28
-
-
84863049929
-
Tracking by sampling trackers
-
J. Kwon and K. M. Lee. Tracking by Sampling Trackers. In ICCV, 2011.
-
(2011)
ICCV
-
-
Kwon, J.1
Lee, K.M.2
-
29
-
-
84956693941
-
A scale adaptive kernel correlation filter tracker with feature integration
-
Y. Li and J. Zhu. A Scale Adaptive Kernel Correlation Filter Tracker with Feature Integration. In ECCVW, 2014.
-
(2014)
ECCVW
-
-
Li, Y.1
Zhu, J.2
-
33
-
-
84959245627
-
In defense of color-based model-free tracking
-
H. Possegger, T. Mauthner, and H. Bischof. In Defense of Color-based Model-free Tracking. In CVPR, 2015.
-
(2015)
CVPR
-
-
Possegger, H.1
Mauthner, T.2
Bischof, H.3
-
34
-
-
77956003979
-
PROST: Parallel robust online simple tracking
-
J. Santner, C. Leistner, A. Saffari, T. Pock, and H. Bischof. PROST: Parallel Robust Online Simple Tracking. In CVPR, 2010.
-
(2010)
CVPR
-
-
Santner, J.1
Leistner, C.2
Saffari, A.3
Pock, T.4
Bischof, H.5
-
35
-
-
84887368146
-
Self-paced learning for long-term tracking
-
J. S. Supancic and D. Ramanan. Self-paced learning for long-term tracking. In CVPR, 2013.
-
(2013)
CVPR
-
-
Supancic, J.S.1
Ramanan, D.2
-
36
-
-
50649099635
-
Co-tracking using semi-supervised support vector machines
-
F. Tang, S. Brennan, Q. Zhao, and H. Tao. Co-Tracking Using Semi-Supervised Support Vector Machines. In ICCV, 2007.
-
(2007)
ICCV
-
-
Tang, F.1
Brennan, S.2
Zhao, Q.3
Tao, H.4
-
38
-
-
84919785601
-
Ensemble-based tracking: Aggregating crowdsourced structured time series data
-
N. Wang and D.-Y. Yeung. Ensemble-Based Tracking: Aggregating Crowdsourced Structured Time Series Data. In ICML, 2014.
-
(2014)
ICML
-
-
Wang, N.1
Yeung, D.-Y.2
-
39
-
-
84887348427
-
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
-
40
-
-
84959180787
-
Single target tracking using adaptive clustered decision trees and dynamic multilevel appearance models
-
J. Xiao, R. Stolkin, and A. Leonardis. Single target tracking using adaptive clustered decision trees and dynamic multilevel appearance models. In CVPR, 2015.
-
(2015)
CVPR
-
-
Xiao, J.1
Stolkin, R.2
Leonardis, A.3
-
41
-
-
85009901660
-
MEEM: Robust tracking via multiple experts using entropy minimization
-
J. Zhang, S. Ma, and S. Sclaroff. MEEM: Robust Tracking via Multiple Experts using Entropy Minimization. In ECCV, 2014.
-
(2014)
ECCV
-
-
Zhang, J.1
Ma, S.2
Sclaroff, S.3
|