@Yuzhe SHI, Computer Science, HUST Oct, 2019

This repository implements our visual tracking survey. We give a script with great scalability to test trackers on diverse datasets with their evaluation methodologies.

>>tracker_evaluation

You only need to set up absolute path to the datasets and then -- run the script!

[1-a] Matthias Mueller, Neil Smith and Bernard Ghanem, "A Benchmark and Simulator for UAV Tracking" in European Conference on Computer Vision (ECCV 2016).

[1-b] Y. Wu, J. Lim, and M.-H. Yang, Online Object Tracking: A Benchmark,¡± in CVPR, 2013.

[1-c] Fan Heng, Lin Liting, Yang Fan, Chu Peng, Deng Ge, Yu Sijia,LaSOT : A High-quality Benchmark for Large-scale Single Object Tracking.

[2] João F. Henriques, Rui Caseiro, Pedro Martins, and Jorge Batista, "Exploiting the Circulant Structure of Tracking-by-detection with Kernels," ECCV, 2012.

[3] Martin Danelljan, Gustav Häger, Fahad Shahbaz Khan and Michael Felsberg. "Accurate Scale Estimation for Robust Visual Tracking". Proceedings of the British Machine Vision Conference (BMVC), 2014.

[4] J. F. Henriques, R. Caseiro, P. Martins, J. Batista, "High-Speed Tracking with Kernelized Correlation Filters", TPAMI 2014 (to be published).

[5] J. F. Henriques, R. Caseiro, P. Martins, J. Batista, "Exploiting the Circulant Structure of Tracking-by-detection with Kernels", ECCV 2012.

[6] Yang Li, Jianke Zhu. "A Scale Adaptive Kernel Correlation Filter Tracker with Feature Integration" European Conference on Computer Vision, Workshop VOT2014 (ECCVW), 2014.

[7] Martin Danelljan, Gustav Häger, Fahad Shahbaz Khan and Michael Felsberg. "Learning Spatially Regularized Correlation Filters for Visual Tracking." In Proceedings of the International Conference in Computer Vision (ICCV), 2015.

[8] Martin Danelljan](https://martin-danelljan.github.io/), Andreas Robinson, Fahad Khan, Michael Felsberg. "Beyond Correlation Filters: Learning Continuous Convolution Operators for Visual Tracking." In Proceedings of the European Conference on Computer Vision (ECCV), 2016.

[9] Martin Danelljan, Goutam Bhat, Fahad Khan, Michael Felsberg. "ECO: Efficient Convolution Operators for Tracking." In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.