Fetching the paper…
Reading the bibliography…
We introduce the OxUvA dataset and benchmark for evaluating single-object tracking algorithms.
Fawcett, T.: An introduction to ROC analysis. Pattern Recognition Letters (2006)
2006
Earlier work this paper cites.
Ross, D.A., Lim, J., Lin, R.S., Yang, M.H.: Incremental learning for robust visual tracking. International Journal of Computer Vision (2008)
2008
Earlier work this paper cites.
Babenko, B., Yang, M.H., Belongie, S.: Visual tracking with online multiple instance learning. In: IEEE Conference on Computer Vision and Pattern Recognition (2009)
2009
Earlier work this paper cites.
Breitenstein, M.D., Reichlin, F., Leibe, B., Koller-Meier, E., Van Gool, L.: Robust tracking-by-detection using a detector confidence particle filter. In: IEEE Conference on Computer Vision and Pattern Recognition (2009)
2009
Earlier work this paper cites.
Santner, J., Leistner, C., Saffari, A., Pock, T., Bischof, H.: Prost: Parallel robust online simple tracking. In: IEEE Conference on Computer Vision and Pattern Recognition (2010)
2010
Earlier work this paper cites.
Kalal, Z., Mikolajczyk, K., Matas, J.: Tracking-learning-detection. IEEE Transactions on Pattern Analysis and Machine Intelligence (2012)
2012
Earlier work this paper cites.
Wasserman, L.: All of statistics: A concise course in statistical inference. Springer Science & Business Media (2013)
2013
Earlier work this paper cites.
Camps, O., Cucchiara, R., Del Bimbo, A., Matas, J., Pernici, F., Sclaroff, S.: Long-term detection and tracking workshop. http://www.micc.unifi.it/LTDT2014 (2014)
2014
Earlier work this paper cites.
2014
Earlier work this paper cites.
Smeulders, A.W.M., Chu, D.M., Cucchiara, R., Calderara, S., Dehghan, A., Shah, M.: Visual tracking: An experimental survey. IEEE Transactions on Pattern Analysis and Machine Intelligence (2014)
2014
Earlier work this paper cites.
Girshick, R.: Fast R-CNN. In: IEEE International Conference on Computer Vision (2015)
2015
Earlier work this paper cites.
Henriques, J.F., Caseiro, R., Martins, P., Batista, J.: High-speed tracking with kernelized correlation filters. IEEE Transactions on Pattern Analysis and Machine Intelligence (2015)
2015
Earlier work this paper cites.
Liang, P., Blasch, E., Ling, H.: Encoding color information for visual tracking: Algorithms and benchmark. IEEE Transactions on Image Processing (2015)
2015
Cited alongside, same era.
Ma, C., Yang, X., Zhang, C., Yang, M.H.: Long-term correlation tracking. In: IEEE Conference on Computer Vision and Pattern Recognition (2015)
2015
Cited alongside, same era.
Russakovsky, O., Deng, J., Su, H., Krause, J., Satheesh, S., Ma, S., Huang, Z., Karpathy, A., Khosla, A., Bernstein, M., Berg, A.C., Fei-Fei, L.: ImageNet Large Scale Visual Recognition Challenge. International Journal of Computer Vision (2015)
2015
Cited alongside, same era.
Wu, Y., Lim, J., Yang, M.H.: Object tracking benchmark. IEEE Transactions on Pattern Analysis and Machine Intelligence (2015)
2015
Cited alongside, same era.
Danelljan, M., Bhat, G., Shahbaz Khan, F., Felsberg, M.: ECO: Efficient convolution operators for tracking. In: IEEE Conference on Computer Vision and Pattern Recognition (2017)
2017
Later among the works it cites.
Kiani, H., Fagg, A., Huang, C., Ramanan, D., Lucey, S.: Need for speed: A benchmark for higher frame rate object tracking. In: IEEE International Conference on Computer Vision (2017)
2017
Later among the works it cites.
Kiani, H., Fagg, A., Lucey, S.: Learning background-aware correlation filters for visual tracking. In: IEEE Conference on Computer Vision and Pattern Recognition (2017)
2017
Later among the works it cites.
Kristan, M., Leonardis, A., Matas, J., Felsberg, M., Pflugfelder, R., Čehovin, L., Vojíř, T., Hager, G., Lukezic, A., Eldesokey, A., Fernandez, G.: The visual object tracking VOT2017 challenge results. In: IEEE International Conference on Computer Vision workshops (2017)
2017
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
2016
Cited alongside, same era.
Bertinetto, L., Valmadre, J., Henriques, J.F., Vedaldi, A., Torr, P.H.S.: Fully-convolutional siamese networks for object tracking. In: European Conference on Computer Vision workshops (2016)
2016
Cited alongside, same era.
Kristan, M., Matas, J., Leonardis, A., Vojíř, T., Pflugfelder, R., Fernandez, G., Nebehay, G., Porikli, F., Čehovin, L.: A novel performance evaluation methodology for single-target trackers. IEEE Transactions on Pattern Analysis and Machine Intelligence (2016)
2016
Cited alongside, same era.
Li, A., Lin, M., Wu, Y., Yang, M.H., Yan, S.: NUS-PRO: A new visual tracking challenge. IEEE Transactions on Pattern Analysis and Machine Intelligence (2016)
2016
Cited alongside, same era.
Mueller, M., Smith, N., Ghanem, B.: A benchmark and simulator for UAV tracking. In: European Conference on Computer Vision (2016)
2016
Cited alongside, same era.
Nam, H., Han, B.: Learning multi-domain convolutional neural networks for visual tracking. In: IEEE Conference on Computer Vision and Pattern Recognition (2016)
2016
Cited alongside, same era.
Tao, R., Gavves, E., Smeulders, A.W.M.: Siamese instance search for tracking. In: IEEE Conference on Computer Vision and Pattern Recognition (2016)
2016
Cited alongside, same era.
Zhu, G., Porikli, F., Li, H.: Beyond local search: Tracking objects everywhere with instance-specific proposals. In: IEEE Conference on Computer Vision and Pattern Recognition (2016)
2016
Cited alongside, same era.
Li, S., Yeung, D.Y.: Visual object tracking for unmanned aerial vehicles: A benchmark and new motion models. In: AAAI (2017)
2017
Later among the works it cites.
2017
Later among the works it cites.
Real, E., Shlens, J., Mazzocchi, S., Pan, X., Vanhoucke, V.: YouTube-BoundingBoxes: A large high-precision human-annotated data set for object detection in video. In: IEEE Conference on Computer Vision and Pattern Recognition (2017)
2017
Later among the works it cites.
Supancic, III, J., Ramanan, D.: Tracking as online decision-making: Learning a policy from streaming videos with reinforcement learning. In: IEEE International Conference on Computer Vision (2017)
2017
Later among the works it cites.
2017
Later among the works it cites.
Valmadre, J., Bertinetto, L., Henriques, J.F., Vedaldi, A., Torr, P.H.S.: End-to-end representation learning for correlation filter based tracking. In: IEEE Conference on Computer Vision and Pattern Recognition (2017)
2017
Later among the works it cites.