High-Speed Tracking with Kernelized Correlation Filters - Estadísticas de Google Académico

Artículos que citan High-Speed Tracking with Kernelized Correlation Filters

Título / Autor	Año
Struck: Structured output tracking with kernels S Hare, S Golodetz, A Saffari, V Vineet, MM Cheng, SL Hicks, PHS Torr IEEE transactions on pattern analysis and machine intelligence 38 (10), 2096 …	2015
Object tracking benchmark Y Wu, J Lim, MH Yang IEEE Transactions on Pattern Analysis and Machine Intelligence 37 (9), 1834-1848	2015
Accurate scale estimation for robust visual tracking M Danelljan, G Häger, F Khan, M Felsberg British Machine Vision Conference, Nottingham, September 1-5, 2014	2014
Learning multi-domain convolutional neural networks for visual tracking H Nam, B Han Proceedings of the IEEE conference on computer vision and pattern …	2016
Hierarchical convolutional features for visual tracking C Ma, JB Huang, X Yang, MH Yang Proceedings of the IEEE international conference on computer vision, 3074-3082	2015
The visual object tracking vot2015 challenge results M Kristan, J Matas, A Leonardis, M Felsberg, L Cehovin, G Fernandez, ... Proceedings of the IEEE international conference on computer vision …	2015
Learning spatially regularized correlation filters for visual tracking M Danelljan, G Hager, F Shahbaz Khan, M Felsberg Proceedings of the IEEE international conference on computer vision, 4310-4318	2015
Fully-convolutional siamese networks for object tracking L Bertinetto, J Valmadre, JF Henriques, A Vedaldi, PHS Torr European conference on computer vision, 850-865	2016
A scale adaptive kernel correlation filter tracker with feature integration Y Li, J Zhu European conference on computer vision, 254-265	2014
Visual tracking with fully convolutional networks L Wang, W Ouyang, X Wang, H Lu Proceedings of the IEEE international conference on computer vision, 3119-3127	2015
Staple: Complementary learners for real-time tracking L Bertinetto, J Valmadre, S Golodetz, O Miksik, PHS Torr Proceedings of the IEEE conference on computer vision and pattern …	2016
Long-term correlation tracking C Ma, X Yang, C Zhang, MH Yang Proceedings of the IEEE conference on computer vision and pattern …	2015
Beyond correlation filters: Learning continuous convolution operators for visual tracking M Danelljan, A Robinson, FS Khan, M Felsberg European Conference on Computer Vision, 472-488	2016
Unsupervised learning of visual representations using videos X Wang, A Gupta Proceedings of the IEEE International Conference on Computer Vision, 2794-2802	2015
Eco: Efficient convolution operators for tracking M Danelljan, G Bhat, F Shahbaz Khan, M Felsberg Proceedings of the IEEE conference on computer vision and pattern …	2017
Multi-store tracker (muster): A cognitive psychology inspired approach to object tracking Z Hong, Z Chen, C Wang, X Mei, D Prokhorov, D Tao Proceedings of the IEEE Conference on Computer Vision and Pattern …	2015
Convolutional features for correlation filter based visual tracking M Danelljan, G Hager, F Shahbaz Khan, M Felsberg Proceedings of the IEEE International Conference on Computer Vision …	2015
Hedged deep tracking Y Qi, S Zhang, L Qin, H Yao, Q Huang, J Lim, MH Yang Proceedings of the IEEE conference on computer vision and pattern …	2016
End-to-end representation learning for correlation filter based tracking J Valmadre, L Bertinetto, J Henriques, A Vedaldi, PHS Torr Proceedings of the IEEE Conference on Computer Vision and Pattern …	2017
The visual object tracking vot2017 challenge results M Kristan, A Leonardis, J Matas, M Felsberg, R Pflugfelder, ... Proceedings of the IEEE International Conference on Computer Vision, 1949-1972	2017

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