Awesome-Object-Tracking

This is a collection of people, papers, blogs, etc. related to object tracking.

People & Lab

• Haibin Ling (凌海滨), Temple University
• Tianzhu Zhang（张天柱），中科院自动化所
• Huchuan Lu (卢湖川),大连理工大学
• WU Yi (吴毅),南京信息科技大学
• Martin Danelljan
• Luca Bertinetto

Paper

ICCV 2017

• Parallel Tracking and Verifying: A Framework for Real-Time and High Accuracy Visual Tracking.

  • Heng Fan and Haibin Ling. IEEE International Conference on Computer Vision (ICCV), 2017.
  • [Paper][Supplementary Material][C++ Parallel Code][Matlab Serial Code (including siamese caffe model, ~800M)][Tracking Results]

• Convolutional Residual Learning for Visual Tracking

  • Yibing Song, Chao Ma, Lijun Gong, Jiawei Zhang, Rynson Lau and Ming-Hsuan Yang
  • [project]

• Need for Speed: A Benchmark for Higher Frame Rate Object Tracking

  • Hamed Kiani, Ashton Fagg, Chen Huang, Deva Ramanan, and Simon Lucey
  • [Paper] [Sup. Material] [Project page]

• Learning Background-Aware Correlation Filters for Visual Tracking

  • Hamed Kiani, Ashton Fagg, and Simon Lucey
  • [Paper] [Sup. Material] [Project Page]

• p-tracker: Tracking as Online Decision-Making: Learning a Policy From Streaming Videos With Reinforcement Learning

  • J. Supancic, D. Ramanan
  • [paper] [supp]

CVPR 2017

• Context-Aware Correlation Filter Tracking. (Oral)

  • Matthias Mueller, Neil Smith, Bernard Ghanem.
  • [paper][project][github]

• ECO: Efficient Convolution Operators for Tracking

  • Martin Danelljan, Goutam Bhat, Fahad Shahbaz Khan, Michael Felsberg
  • [paper][project][github]

• Discriminative Correlation Filter with Channel and Spatial Reliability

  • Alan Lukežič, Tomáš Vojíř, Luka Čehovin, Jiří Matas, Matej Kristan
  • [paper][github]

• Large Margin Object Tracking with Circulant Feature Maps

  • Mengmeng Wang, Yong Liu, Zeyi Huang
  • [paper][zhihu]

• Multi-task Correlation Particle Filter for Robust Visual Tracking

  • Tianzhu Zhang, Changsheng Xu, Ming-Hsuan Yang
  • [paper][project]

• End-to-end representation learning for Correlation Filter based tracking

  • Jack Valmadre, Luca Bertinetto, João F. Henriques, Andrea Vedaldi, Philip H. S. Torr
  • [paper]][project][github]

• Attentional Correlation Filter Network for Adaptive Visual Tracking

  • Jongwon Choi, Hyung Jin Chang, Sangdoo Yun, Tobias Fischer, Yiannis Demiris, and Jin Young Choi
  • [paper]][project][test code][training code]

CVPR 2016

• MDNet: Learning Multi-Domain Convolutional Neural Networks for Visual Tracking

  • Hyeonseob Nam, and Bohyung Han
  • [Paper][Project][github]

• Staple: Complementary Learners for Real-Time Tracking

  • Luca Bertinetto, Jack Valmadre, Stuart Golodetz, Ondrej Miksik, Philip H. S. Torr
  • [paper][poster][github][result]

• SINT: Siamese Instance Search for Tracking

  • Ran Tao, Efstratios Gavves, and Arnold W.M. Smeulders
  • [paper][project][github]

• STCT: STCT: Sequentially Training Convolutional Networks for Visual Tracking

  • Wang, Lijun and Ouyang, Wanli and Wang, Xiaogang and Lu, Huchuan
  • [paper][github]

ECCV 2016

• Fully-Convolutional Siamese Networks for Object Tracking

  • [paper][github][project]

• SiameseFC: Fully-Convolutional Siamese Networks for Object Tracking (workshop)

  • Luca Bertinetto, Jack Valmadre, João F. Henriques, Andrea Vedaldi, Philip H.S. Torr
  • [paper][project][github]

• GOTURN: Learning to Track at 100 FPS with Deep Regression Networks

  • David Held, Sebastian Thrun, Silvio Savarese
  • [paper][project][github]

• C-COT: Beyond Correlation Filters: Learning Continuous Convolution Operators for Visual Tracking

  • Martin Danelljan, Andreas Robinson, Fahad Khan, Michael Felsberg
  • [paper][project][github]

ICCV 2015

• SRDCF: Learning Spatially Regularized Correlation Filters for Visual Tracking

  • Martin Danelljan, Gustav Häger, Fahad Khan, Michael Felsberg
  • [paper][project]

• DeepSRDCF: Convolutional Features for Correlation Filter Based Visual Tracking (workshop)

  • Martin Danelljan, Gustav Häger, Fahad Khan, Michael Felsberg
  • [paper][project]

• CF2: Hierarchical Convolutional Features for Visual Tracking

  • Chao Ma, Jia-Bin Huang, Xiaokang Yang and Ming-Hsuan Yang
  • [paper][project][github]

• Understanding and Diagnosing Visual Tracking Systems

  • Naiyan Wang, Jianping Shi, Dit-Yan Yeung and Jiaya Jia
  • [paper][project][code]

• FCNT: Visual Tracking with Fully Convolutional Networks

  • Lijun Wang, Wanli Ouyang, Xiaogang Wang, and Huchuan Lu
  • [paper][project][github]

CVPR 2015

• MUSTer: MUlti-Store Tracker (MUSTer): A Cognitive Psychology Inspired Approach to Object Tracking

  • Zhibin Hong, Zhe Chen, Chaohui Wang, Xue Mei, Danil Prokhorov, Dacheng Tao
  • [paper][project]

• LCT: Long-term Correlation Tracking

  • Chao Ma, Xiaokang Yang, Chongyang Zhang, Ming-Hsuan Yang
  • [paper][project][github]

• DAT: In Defense of Color-based Model-free Tracking

  • Horst Possegger, Thomas Mauthner, and Horst Bischof
  • [paper] [project] [code]

• RPT: Reliable Patch Trackers: Robust Visual Tracking by Exploiting Reliable Patches

  • Yang Li, Jianke Zhu and Steven C.H. Hoi
  • [paper][github]

Awesome blogs and websites

Zhihu Articles

• CVPR2017跟踪相关文章介绍
• 目标跟踪综述

GitHub

Collection of recent bench trackers

To be continued...