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Compared with short-term tracking, the long-term tracking task requires determining the tracked object is present or absent, and then estimating the accurate bounding box if present or conducting image-wide re-detection if absent.
Tracking-learning-detection
K. M. Zdenek Kalal and J. Matas · 2012
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Microsoft coco: Common objects in context
T.-Y. Lin, M. Maire, S. J. Belongie, L. D. Bourdev, R. B. Girshick, J. Hays, P. Perona, D. Ramanan, P. Dollár, and C. L. Zitnick · 2014
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Imagenet large scale visual recognition challenge
O. Russakovsky, J. Deng, H. Su, J. Krause, S. Satheesh, S. Ma, Z. Huang, A. Karpathy, A. Khosla, and M. Bernstein · 2014
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Convolutional features for correlation filter based visual tracking
M. Danelljan, G. HÀger, F. S. Khan, and M. Felsberg · 2015
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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 · 2015
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Long-term correlation tracking
C. Ma, X. Yang, C. Zhang, and M. H. Yang · 2015
Earlier work this paper cites.
Clustering of static-adaptive correspondences for deformable object tracking
G. Nebehay and R. Pflugfelder · 2015
Earlier work this paper cites.
Faster R–CNN: towards real-time object detection with region proposal networks
S. Ren, K. He, R. Girshick, and J. Sun · 2015
Earlier work this paper cites.
Imagenet large scale visual recognition challenge
O. Russakovsky, J. Deng, H. Su, J. Krause, S. Satheesh, S. Ma, Z. Huang, A. Karpathy, A. Khosla, and M. Bernstein · 2015
Earlier work this paper cites.
Visual tracking with fully convolutional networks
L. Wang, W. Ouyang, X. Wang, and H. Lu · 2015
Earlier work this paper cites.
Object tracking benchmark
Y. Wu, J. Lim, and M. H. Yang · 2015
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Tensorflow: Large scale machine learning on heterogeneous distributed systems
M. Abadi, A. Agarwal, P. Barham, E. Brevdo, Z. Chen, C. Citro, G. S. Corrado, A. Davis, J. Dean, and M. Devin · 2016
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Staple: Complementary learners for real-time tracking
L. Bertinetto, J. Valmadre, S. Golodetz, O. Miksik, and P. H. S. Torr · 2016
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Fully-convolutional siamese networks for object tracking
L. Bertinetto, J. Valmadre, J. F. Henriques, A. Vedaldi, and P. H. S. Torr · 2016
Cited alongside, same era.
Beyond correlation filters: Learning continuous convolution operators for visual tracking
M. Danelljan, A. Robinson, F. S. Khan, and M. Felsberg · 2016
Cited alongside, same era.
SSD: Single shot multibox detector
W. Liu, D. Anguelov, D. Erhan, C. Szegedy, S. Reed, C. Y. Fu, and A. C. Berg · 2016
Cited alongside, same era.
Learning multi–domain convolutional neural networks for visual tracking
H. Nam and B. Han · 2016
Cited alongside, same era.
Siamese instance search for tracking
R. Tao, E. Gavves, and A. W. M. Smeulders · 2016
Cited alongside, same era.
Stct: Sequentially training convolutional networks for visual tracking
L. Wang, W. Ouyang, X. Wang, and H. Lu · 2016
Cited alongside, same era.
The visual object tracking vot2017 challenge results
M. Kristan, A. Leonardis, J. Matas, M. Felsberg, R. Pflugfelder, L. Zajc, T. Vojir, and G. Hager · 2017
Later among the works it cites.
FCLT - a fully-correlational long-term tracker
A. LukeÅŸiÄ, L. Ä. Zajc, T. VojÃÅ, J. Matas, and M. Kristan · 2017
Later among the works it cites.
Youtube-boundingboxes: A large high-precision human-annotated data set for object detection in video
E. Real, J. Shlens, S. Mazzocchi, X. Pan, and V. Vanhoucke · 2017
Later among the works it cites.
YOLO9000: Better, faster, stronger
J. Redmon and A. Farhadi · 2017
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Random erasing data augmentation
Z. Zhong, L. Zheng, G. Kang, S. Li, and Y. Yang · 2017
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Beyond local search: Tracking objects everywhere with instance-specific proposals
G. Zhu, F. Porikli, and H. Li · 2016
Cited alongside, same era.
ECO: Efficient convolution operators for tracking
M. Danelljan, G. Bhat, F. S. Khan, and M. Felsberg · 2017
Cited alongside, same era.
Parallel tracking and verifying: A framework for real-time and high accuracy visual tracking
H. Fan and H. Ling · 2017
Cited alongside, same era.
Learning background-aware correlation filters for visual tracking
H. K. Galoogahi, A. Fagg, and S. Lucey · 2017
Cited alongside, same era.
Mobilenets: Efficient convolutional neural networks for mobile vision applications
A. G. Howard, M. Zhu, B. Chen, D. Kalenichenko, W. Wang, T. Weyand, M. Andreetto, and H. Adam · 2017
Cited alongside, same era.
Tracking as online decision-making: Learning a policy from streaming videos with reinforcement learning
J. S. S. III and D. Ramanan · 2017
Cited alongside, same era.
A twofold siamese network for real-time object tracking
A. He, C. Luo, X. Tian, and W. Zeng · 2018
Closest in time.
The sixth visual object tracking vot2018 challenge results
M. Kristan, A. Leonardis, J. Matas, M. Felsberg, R. Pflugfelder, L. Zajc, T. Vojir, and G. Hager · 2018
Closest in time.
High performance visual tracking with siamese region proposal network
B. Li, J. Yan, W. Wu, Z. Zhu, and X. Hu · 2018
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Now you see me: evaluating performance in long-term visual tracking
A. LukeÅŸiÄ, L. Ä. Zajc, T. VojÃÅ, J. Matas, and M. Kristan · 2018
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Correlation tracking via joint discrimination and reliability learning
C. Sun, D. Wang, H. Lu, and M. H. Yang · 2018
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Learning spatial-aware regressions for visual tracking
C. Sun, D. Wang, H. Lu, and M. H. Yang · 2018
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Long-term tracking in the wild: a benchmark
J. Valmadre, L. Bertinetto, J. F. Henriques, R. Tao, A. Vedaldi, A. W. Smeulders, P. H. Torr, and E. Gavves · 2018
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