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RGBD Tracking Overview

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:rocket: News

:boom: Track-Anything Development Underway: Give it a Try Now!

:boom: DMT is accepted by ECCV workshop 2022.

:boom: ProTrack is accepted by ACMMM 2022.

Overview

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RGBD Tracking Express

2023

2022

2021

2020

2019

2018

2017

2016

2015

2014

2013

2012

Datasets

Challenges

<!-- A comprehensive survey on multimodal tracking [[Paper]](https://arxiv.org/pdf/2012.04176.pdf), including RGB-T and RGB-D tracking methods. This list will be long-term updating. If your related paper is missing in this review, feel free to contact [pyzhang@mail.dlut.edu.cn](mailto:pyzhang@mail.dlut.edu.cn). ![alt text](https://github.com/zhang-pengyu/Multimodal_tracking_survey/blob/master/Paper_list_with_taxonomy.png) # Citation If our paper and repositority are helpful for your work, please cite us, @article{Zhang_Arxiv20_MM_tracking_survey,\ author = {Pengyu Zhang and Dong Wang and Huchuan Lu},\ title = {Multi-modal Visual Tracking: Review and Experimental Comparison},\ journal={arXiv preprint arXiv:2012.04176},\ year={2020}\ } # Multimodal Tracking List ## RGB-D tracking ### 2020 * **WCO**: Weichun Liu, Xiaoan Tang, Chengling Zhao. Robust RGBD Tracking via Weighted Convlution Operators. In _Sensors_ 20(8), 2020. [[Paper]](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8950173/) ### 2019 * **3DMS**: Alexander Gutev, Carl James Debono. Exploiting Depth Information to Increase Object Tracking Robustness. In _ICST_ 2019. [[Paper]](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8861628/) * **OTR**: Ugur Kart, Alan Lukezic, Matej Kristan, Joni-Kristian Kamarainen, Jiri Matas. Object Tracking by Reconstruction with View-Specific Discriminative Correlation Filters. In _CVPR_ 2019. [[Paper]](https://openaccess.thecvf.com/content_CVPR_2019/papers/Kart_Object_Tracking_by_Reconstruction_With_View-Specific_Discriminative_Correlation_Filters_CVPR_2019_paper.pdf) [[Code]](https://github.com/ugurkart/OTR) * **TACF**: Yangliu Kuai, Gongjian Wen, Dongdong Li, Jingjing Xiao. Target-Aware Correlation Filter Tracking in RGBD Videos. In _Sensors_ 19(20), 2019. [[Paper]](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8752050) * **CA3DMS**: Ye Liu, Xiao-Yuan Jing, Jianhui Nie, Hao Gao, Jun Liu, Guo-Ping Jiang. Context-Aware Three-Dimensional Mean-Shift With Occlusion Handling for Robust Object Tracking in RGB-D Videos. In _TMM_ 21(3), 2019. [[Paper]](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8425768) * **OTOD**: Yujun Xie, Yao Lu, Shuang Gu. RGB-D Object Tracking with Occlusion Detection. In _CIS_ 2019. [[Paper]](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9023755) ### 2018 * **CSR-rgbd**: Uğur Kart, Joni-Kristian Kämäräinen, Jiří Matas. How to Make an RGBD Tracker? In _ECCV Workshop_ 2018. [[Paper]](https://link.springer.com/chapter/10.1007/978-3-030-11009-3_8) [[Code]](http://tracking.cs.princeton.edu/) * **DMDCF**: Uğur Kart, Joni-Kristian Kämäräinen, Jiří Matas, Lixin Fan, Francesco Cricri. Depth Masked Discriminative Correlation Filter. In _ICPR_ 2018. [[Paper]](https://arxiv.org/pdf/1802.09227.pdf) * **SEOH**: Jiaxu Leng, Ying Liu. Real-Time RGB-D Visual Tracking With ScaleEstimation and Occlusion Handling. In _Access_ (6), 2018. [[Paper]](https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=8353501) * **ARDM**: Jingjing Xiao, Rustam Stolkin, Yuqing Gao, Aleš Leonardis. Robust Fusion of Color and Depth Data for RGB-D Target Tracking Using Adaptive Range-Invariant Depth Models and Spatio-Temporal Consistency Constraints. In _TC_ 48(8) 2018. [[Paper]](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8026575) [[Code]](https://github.com/shine636363/RGBDtracker) * **OACPF**: Yayu Zhai, Ping Song, Zonglei Mou, Xiaoxiao Chen, Xiongjun Liu. Occlusion-Aware Correlation Particle FilterTarget Tracking Based on RGBD Data. In _Access_ (6), 2018. [[Paper]](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8463446) * **CCF**: Guanqun Li, Lei Huang, Peichang Zhang, Qiang Li, YongKai Huo. Depth Information Aided Constrained correlation Filter for Visual Tracking. In _GSKI_ 2018. [[Paper]](https://iopscience.iop.org/article/10.1088/1755-1315/234/1/012005) * **RTKCF**: Han Zhang, Meng Cai, Jianxun Li. A Real-time RGB-D tracker based on KCF. In _CCDC_ 2018. [[Paper]](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8407972) ### 2017 * **ROTSL**: Zi-ang Ma, Zhi-yu Xiang. Robust Object Tracking with RGBD-based Sparse Learning. In _ITEE_ (18), 2017. [[Paper]](https://link.springer.com/article/10.1631/FITEE.1601338) ### 2016 * **DLST**: Ning An, Xiao-Guang Zhao, Zeng-Guang Hou. Online RGB-D Tracking via Detection-Learning-Segmentation. In _ICPR_ 2016. [[Paper]](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7899805) * **DSKCF**: Sion Hannuna, Massimo Camplani, Jake Hall, Majid Mirmehdi, Dima Damen, Tilo Burghardt, Adeline Paiement, Lili Tao. DS-KCF: A Real-time Tracker for RGB-D Data. In _RTIP_ (16), 2016. [[Paper]](https://link.springer.com/content/pdf/10.1007/s11554-016-0654-3.pdf) [[Code]](https://github.com/mcamplan/DSKCF_JRTIP2016) * **3DT**: Adel Bibi, Tianzhu Zhang, Bernard Ghanem. 3D Part-Based Sparse Tracker with Automatic Synchronization and Registration. In _CVPR_ 2016. [[Paper]](https://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Bibi_3D_Part-Based_Sparse_CVPR_2016_paper.pdf) [[Code]](https://github.com/adelbibi/3D-Part-Based-Sparse-Tracker-with-Automatic-Synchronization-and-Registration) * **OAPF**: Kourosh Meshgia, Shin-ichi Maedaa, Shigeyuki Obaa, Henrik Skibbea, Yu-zhe Lia, Shin Ishii. Occlusion Aware Particle Filter Tracker to Handle Complex and Persistent Occlusions. In _CVIU_ (150), 2016. [[Paper]](http://ishiilab.jp/member/meshgi-k/files/ai/prl14/OAPF.pdf) ### 2015 * **ISOD**: Yan Chen, Yingju Shen, Xin Liu, Bineng Zhong. 3D Object Tracking via Image Sets and Depth-Based Occlusion Detection. In _SP_ (112), 2015. [[Paper]](https://www.sciencedirect.com/science/article/pii/S0165168414004204) * **DSOH**: Massimo Camplani, Sion Hannuna, Majid Mirmehdi, Dima Damen, Adeline Paiement, Lili Tao, Tilo Burghardt. Real-time RGB-D Tracking with Depth Scaling Kernelised Correlation Filters and Occlusion Handling. In _BMVC_, 2015. [[Paper]](https://core.ac.uk/reader/78861956) [[Code]](https://github.com/mcamplan/DSKCF_BMVC2015) * **DOHR**: Ping Ding, Yan Song. Robust Object Tracking Using Color and Depth Images with a Depth Based Occlusion Handling and Recovery. In _FSKD_, 2015. [[Paper]](https://ieeexplore.ieee.org/document/7382068) * **CDG**: Huizhang Shi, Changxin Gao, Nong Sang. Using Consistency of Depth Gradient to Improve Visual Tracking in RGB-D sequences. In _CAC_, 2015. [[Paper]](https://ieeexplore.ieee.org/document/7382555) * **OL3DC**: Bineng Zhong, Yingju Shen, Yan Chen, Weibo Xie, Zhen Cui, Hongbo Zhang, Duansheng Chen ,Tian Wang, Xin Liu, Shujuan Peng, Jin Gou, Jixiang Du, Jing Wang, Wenming Zheng. Online Learning 3D Context for Robust Visual Tracking. In _Neurocomputing_ (151), 2015. [[Paper]](https://www.sciencedirect.com/science/article/pii/S0925231214013757) ### 2014 * **MCBT**: Qi Wang, Jianwu Fang, Yuan Yuan. Multi-Cue Based Tracking. In _Neurocomputing_ (131), 2014. [[Paper]](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.700.8771&rep=rep1&type=pdf) ### 2012 * **AMCT**: Germán Martín García, Dominik Alexander Klein, Jörg Stückler, Simone Frintrop, Armin B. Cremers. Adaptive Multi-cue 3D Tracking of Arbitrary Objects. In _JDOS_, 2012. [[Paper]](https://link.springer.com/chapter/10.1007/978-3-642-32717-9_36) ### Datasets * **PTB**: Shuran Song, Jianxiong Xiao. Tracking Revisited using RGBD Camera: Unified Benchmark and Baselines. In _ICCV_, 2013. [[Paper]](https://vision.princeton.edu/projects/2013/tracking/paper.pdf) [[Project]](https://tracking.cs.princeton.edu/index.html) [[Dataset]](https://tracking.cs.princeton.edu/dataset.html) * **STC**: Jingjing Xiao, Rustam Stolkin, Yuqing Gao, Aleš Leonardis. Robust Fusion of Color and Depth Data for RGB-D Target Tracking Using Adaptive Range-Invariant Depth Models and Spatio-Temporal Consistency Constraints. In _TC_ 48(8) 2018. [[Paper]](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8026575) [[Dataset]](https://beardatashare.bham.ac.uk/dl/fiVnhJRjkyNN8QjSAoiGSiBY/RGBDdataset.zip) * **CDTB**:Alan Lukezic, Ugur Kart, Jani Kapyla, Ahmed Durmush, Joni-Kristian Kamarainen, Jiri Matas, Matej Kristan. CDTB: A Color and Depth Visual Object Tracking Dataset and Benchmark. In _ICCV_, 2019. [[Paper]](https://arxiv.org/pdf/1907.00618.pdf) [[Project]](https://www.vicos.si/Projects/CDTB) [[Dataset]](https://www.votchallenge.net/vot2019/dataset.html) * **DepthTrack**: Song Yan, Jinyu Yang, Jani Käpylä, Feng Zheng, Aleš Leonardis, Joni-Kristian Kämäräinen. DepthTrack : Unveiling the Power of RGBD Tracking. In ArXiv, 2021. [[Paper]](https://arxiv.org/abs/2108.13962) * **RGBD1K**: Xue-Feng Zhu, Tianyang Xu, Zhangyong Tang, Zucheng Wu, Haodong Liu, Xiao Yang, Xiao-Jun Wu, Josef Kittler. RGBD1K: A Large-scale Dataset and Benchmark for RGB-D Object Tracking. In _AAAI_, 2023. [[Paper]](https://arxiv.org/pdf/2208.09787.pdf)