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Discriminant Correlation Filters (DCF) based methods now become a kind of dominant approach to online object tracking.
“Visual object tracking using adaptive correlation filters,”
David S Bolme, J Ross Beveridge, Bruce A Draper, and Yui Man Lui, · 2010
Earlier work this paper cites.
“Tracking-learning-detection,”
Zdenek Kalal, Krystian Mikolajczyk, and Jiri Matas, · 2012
Earlier work this paper cites.
“Imagenet classification with deep convolutional neural networks,”
Alex Krizhevsky, Ilya Sutskever, and Geoffrey E. Hinton, · 2012
Earlier work this paper cites.
“Exploiting the circulant structure of tracking-by-detection with kernels,”
J. F. Henriques, R. Caseiro, P. Martins, and J. Batista, · 2012
Earlier work this paper cites.
“Online object tracking: A benchmark,”
Yi Wu, Jongwoo Lim, and Ming-Hsuan Yang, · 2013
Earlier work this paper cites.
“Learning a deep compact image representation for visual tracking,”
Naiyan Wang and Dit-Yan Yeung, · 2013
Earlier work this paper cites.
“Accurate scale estimation for robust visual tracking,”
Martin Danelljan, Gustav Häger, Fahad Khan, and Michael Felsberg, · 2014
Earlier work this paper cites.
“Very deep convolutional networks for large-scale image recognition,”
Karen Simonyan and Andrew Zisserman, · 2014
Earlier work this paper cites.
“Rich feature hierarchies for accurate object detection and semantic segmentation,”
Ross Girshick, Jeff Donahue, Trevor Darrell, and Jitendra Malik, · 2014
Earlier work this paper cites.
“Adaptive color attributes for real-time visual tracking,”
Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg, and Joost Van de Weijer, · 2014
Earlier work this paper cites.
“Transfer learning based visual tracking with gaussian processes regression,”
Jin Gao, Haibin Ling, Weiming Hu, and Junliang Xing, · 2014
Earlier work this paper cites.
“MEEM: robust tracking via multiple experts using entropy minimization,”
Jianming Zhang, Shugao Ma, and Stan Sclaroff, · 2014
Earlier work this paper cites.
“Object tracking benchmark,”
Yi Wu, Jongwoo Lim, and Ming-Hsuan Yang, · 2015
Earlier work this paper cites.
“The visual object tracking VOT2015 challenge results,”
Matej Kristan, Jiri Matas, Ale Leonardis, and Michael Felsberg, · 2015
Cited alongside, same era.
“High-speed tracking with kernelized correlation filters,”
João F Henriques, Rui Caseiro, Pedro Martins, and Jorge Batista, · 2015
Cited alongside, same era.
“Understanding and diagnosing visual tracking systems,”
Naiyan Wang, Jianping Shi, Dit-Yan Yeung, and Jiaya Jia, · 2015
Cited alongside, same era.
“Hierarchical convolutional features for visual tracking,”
Chao Ma, Jia-Bin Huang, Xiaokang Yang, and Ming-Hsuan Yang, · 2015
Cited alongside, same era.
“Convolutional features for correlation filter based visual tracking,”
Martin Danelljan, Gustav Hager, Fahad Shahbaz Khan, and Michael Felsberg, · 2015
Cited alongside, same era.
“Multi-store tracker (muster): A cognitive psychology inspired approach to object tracking,”
Zhibin Hong, Zhe Chen, Chaohui Wang, Xue Mei, Danil Prokhorov, and Dacheng Tao, · 2015
“Online tracking by learning discriminative saliency map with convolutional neural network,”
Seunghoon Hong, Tackgeun You, Suha Kwak, and Bohyung Han, · 2015
Later among the works it cites.
“Struck: Structured output tracking with kernels,”
Sam Hare, Stuart Golodetz, Amir Saffari, Vibhav Vineet, Ming-Ming Cheng, Stephen L Hicks, and Philip HS Torr, · 2016
Later among the works it cites.
“Hedged deep tracking,”
Yuankai Qi, Shengping Zhang, Lei Qin, Hongxun Yao, Qingming Huang, Jongwoo Lim, and Ming-Hsuan Yang, · 2016
Later among the works it cites.
“Deep residual learning for image recognition,”
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun, · 2016
Later among the works it cites.
“SSD: Single shot multibox detector,”
Wei Liu, Dragomir Anguelov, Dumitru Erhan, Christian Szegedy, Scott Reed, Cheng-Yang Fu, and Alexander C. Berg, · 2016
Later among the works it cites.
“Staple: Complementary learners for real-time tracking,”
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Cited alongside, same era.
“Long-term correlation tracking,”
Chao Ma, Xiaokang Yang, Chongyang Zhang, and Ming-Hsuan Yang, · 2015
Cited alongside, same era.
“Learning spatially regularized correlation filters for visual tracking,”
Martin Danelljan, Gustav Hager, Fahad Shahbaz Khan, and Michael Felsberg, · 2015
Cited alongside, same era.
“Visual tracking with fully convolutional networks,”
Lijun Wang, Wanli Ouyang, Xiaogang Wang, and Huchuan Lu, · 2015
Cited alongside, same era.
“Encoding color information for visual tracking: algorithms and benchmark,”
Pengpeng Liang, Erik Blasch, and Haibin Ling, · 2015
Cited alongside, same era.
“Robust visual tracking using joint scale-spatial correlation filters,”
Mengdan Zhang, Junliang Xing, Jin Gao, and Weiming Hu, · 2015
Cited alongside, same era.
“Matconvnet: Convolutional neural networks for matlab,”
A. Vedaldi and K. Lenc, · 2015
Cited alongside, same era.
Luca Bertinetto, Jack Valmadre, Stuart Golodetz, Ondrej Miksik, and Philip H. S. Torr, · 2016
Later among the works it cites.
“Learning multi-domain convolutional neural networks for visual tracking,”
Hyeonseob Nam and Bohyung Han, · 2016
Later among the works it cites.
“Fully-convolutional siamese networks for object tracking,”
Luca Bertinetto, Jack Valmadre, João F Henriques, Andrea Vedaldi, and Philip HS Torr, · 2016
Later among the works it cites.
“Learning to track at 100 fps with deep regression networks,”
David Held, Sebastian Thrun, and Silvio Savarese, · 2016
Later among the works it cites.
“Nus-pro: A new visual tracking challenge,”
Annan Li, Min Lin, Yi Wu, Ming-Hsuan Yang, and Shuicheng Yan, · 2016
Later among the works it cites.
“A benchmark and simulator for uav tracking,”
Matthias Mueller, Neil Smith, and Bernard Ghanem, · 2016
Later among the works it cites.
Christoph Boeddeker, Patrick Hanebrink, Lukas Drude, Jahn Heymann, and Reinhold Haeb-Umbach, · 2017
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