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LaSOT: A High-quality Large-scale Single Object Tracking Benchmark [article]

Heng Fan, Hexin Bai, Liting Lin, Fan Yang, Peng Chu, Ge Deng, Sijia Yu, Harshit, Mingzhen Huang, Juehuan Liu, Yong Xu, Chunyuan Liao (+2 others)
2020 arXiv   pre-print
To address this problem, we present LaSOT, a high-quality Large-scale Single Object Tracking benchmark.  ...  Our goal in releasing LaSOT is to provide a dedicated high quality platform for both training and evaluation of trackers.  ...  For tracking benchmark using oneshot split protocol, category bias should be inhibited in only training of trackers. LaSOT: A High-quality Large-scale Single Object Tracking Benchmark  ... 
arXiv:2009.03465v3 fatcat:bfe4qmryfbaslozwmcvlsm7n7u

LaSOT: A High-quality Benchmark for Large-scale Single Object Tracking [article]

Heng Fan, Liting Lin, Fan Yang, Peng Chu, Ge Deng, Sijia Yu, Hexin Bai, Yong Xu, Chunyuan Liao, Haibin Ling
2019 arXiv   pre-print
In this paper, we present LaSOT, a high-quality benchmark for Large-scale Single Object Tracking. LaSOT consists of 1,400 sequences with more than 3.5M frames in total.  ...  By releasing LaSOT, we expect to provide the community with a large-scale dedicated benchmark with high quality for both the training of deep trackers and the veritable evaluation of tracking algorithms  ...  Contribution With the above motivations, we provide the community a novel benchmark for Large-scale Single Object Tracking (LaSOT) with multi-fold contributions: 1) LaSOT consists of 1,400 videos with  ... 
arXiv:1809.07845v2 fatcat:jwejl7d7hzgwtjgb3xu75und4q

LaSOT: A High-Quality Benchmark for Large-Scale Single Object Tracking

Heng Fan, Haibin Ling, Liting Lin, Fan Yang, Peng Chu, Ge Deng, Sijia Yu, Hexin Bai, Yong Xu, Chunyuan Liao
2019 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)  
In this paper, we present LaSOT, a high-quality benchmark for Large-scale Single Object Tracking. LaSOT consists of 1,400 sequences with more than 3.5M frames in total.  ...  By releasing LaSOT, we expect to provide the community with a large-scale dedicated benchmark with high quality for both the training of deep trackers and the veritable evaluation of tracking algorithms  ...  Wang and anonymous volunteers for their help in constructing LaSOT.  ... 
doi:10.1109/cvpr.2019.00552 dblp:conf/cvpr/FanLYCDYBXLL19 fatcat:yv5xd4jfnbbuxpi3lj74wifda4

Video Annotation for Visual Tracking via Selection and Refinement [article]

Kenan Dai, Jie Zhao, Lijun Wang, Dong Wang, Jianhua Li, Huchuan Lu, Xuesheng Qian, Xiaoyun Yang
2021 arXiv   pre-print
Experiments on large scale tracking benchmarks demonstrate that our method can deliver highly accurate bounding box annotations and significantly reduce human labor by 94.0%, yielding an effective means  ...  A temporal assessment network (T-Assess Net) is proposed which is able to capture the temporal coherence of target locations and select reliable tracking results by measuring their quality.  ...  Existing large-scale datasets all have problems that it is difficult to trade-off the efficiency and quality when generating annotations. Single object tracking.  ... 
arXiv:2108.03821v1 fatcat:pl2hfrhnxbfv5kdzx5v3e3gi54

Unsupervised Lightweight Single Object Tracking with UHP-SOT++ [article]

Zhiruo Zhou, Hongyu Fu, Suya You, C.-C. Jay Kuo
2022 arXiv   pre-print
An improved fusion strategy is adopted by UHP-SOT++ for more robust tracking performance against large-scale tracking datasets.  ...  An unsupervised, lightweight and high-performance single object tracker, called UHP-SOT, was proposed by Zhou et al. recently.  ...  It was shown by extensive experimental results on large-scale datasets that UHP-SOT++ can generate robust and flexible object bounding boxes and offer a real-time high-performance tracking solution on  ... 
arXiv:2111.07548v2 fatcat:trlcvonyhjgc3korf3byv3u3zq

SiamFC++: Towards Robust and Accurate Visual Tracking with Target Estimation Guidelines

Yinda Xu, Zeyu Wang, Zuoxin Li, Ye Yuan, Gang Yu
2020 PROCEEDINGS OF THE THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE TWENTY-EIGHTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE  
Based on a careful analysis, we propose a set of practical guidelines of target state estimation for high-performance generic object tracker design.  ...  Particularly, on the large-scale TrackingNet dataset, SiamFC++ achieves a previously unseen AUC score of 75.4 while running at over 90 FPS, which is far above the real-time requirement.  ...  Results on LaSOT Benchmark With a large number of video sequences (1400 sequences under Protocol I while 280 under Protocol II), LaSOT (Fan et al. 2019 ) (Largescale Single Object Tracking) benchmark  ... 
doi:10.1609/aaai.v34i07.6944 fatcat:miomofnw5jcmtahboc5ka7jsqm

AVisT: A Benchmark for Visual Object Tracking in Adverse Visibility [article]

Mubashir Noman, Wafa Al Ghallabi, Daniya Najiha, Christoph Mayer, Akshay Dudhane, Martin Danelljan, Hisham Cholakkal, Salman Khan, Luc Van Gool, Fahad Shahbaz Khan
2022 arXiv   pre-print
We introduce AVisT, a dedicated benchmark for visual tracking in diverse scenarios with adverse visibility.  ...  We further benchmark 17 popular and recent trackers on AVisT with detailed analysis of their tracking performance across attributes, demonstrating a big room for improvement in performance.  ...  Contributions: We propose AVisT, a benchmark for visual object tracking in diverse scenarios with adverse visibility.  ... 
arXiv:2208.06888v1 fatcat:pl7feb3j3bagda2anpq6mvnf54

Channel Exchanging for RGB-T Tracking

Long Zhao, Meng Zhu, Honge Ren, Lingjixuan Xue
2021 Sensors  
A large number of experiments demonstrate the effectiveness of the proposed model.  ...  It is difficult to achieve all-weather visual object tracking in an open environment only utilizing single modality data input.  ...  Due to the scarcity of large-scale benchmark datasets for the training and evaluation of TIR object tracking, most TIR object tracking frameworks use manual features.  ... 
doi:10.3390/s21175800 pmid:34502691 fatcat:s5kew3sv3rdp3bifwe2hmeetba

Robust Visual Tracking by Segmentation [article]

Matthieu Paul, Martin Danelljan, Christoph Mayer, Luc Van Gool
2022 arXiv   pre-print
Instead, we validate our segmentation quality on two popular video object segmentation datasets.  ...  We infer a bounding box from the segmentation mask, validate our tracker on challenging tracking datasets and achieve the new state of the art on LaSOT with a success AUC score of 69.7%.  ...  Acknowledgements This work was partly supported by uniqFEED AG and the ETH Future Computing Laboratory (EFCL) financed by a gift from Huawei Technologies.  ... 
arXiv:2203.11191v2 fatcat:yjtq44v7mfbyzfhamsxobx3djy

SiamFC++: Towards Robust and Accurate Visual Tracking with Target Estimation Guidelines [article]

Yinda Xu, Zeyu Wang, Zuoxin Li, Ye Yuan, Gang Yu
2020 arXiv   pre-print
After a careful analysis, we propose a set of practical guidelines of target state estimation for high-performance generic object tracker design.  ...  Particularly, on the large-scale TrackingNet dataset, SiamFC++ achieves a previously unseen AUC score of 75.4 while running at over 90 FPS, which is far above the real-time requirement.  ...  Results on LaSOT Benchmark With a large number of video sequences (1400 sequences under Protocol I while 280 under Protocol II), LaSOT (Fan et al. 2019) (Large- scale Single Object Tracking) benchmark  ... 
arXiv:1911.06188v4 fatcat:gwfpndt2xrakphfkpk264dihxm

AFAT: Adaptive Failure-Aware Tracker for Robust Visual Object Tracking [article]

Tianyang Xu, Zhen-Hua Feng, Xiao-Jun Wu, Josef Kittler
2020 arXiv   pre-print
To this end, we propose a failure-aware system, realised by a Quality Prediction Network (QPN), based on convolutional and LSTM modules in the decision stage, enabling online reporting of potential tracking  ...  Siamese approaches have achieved promising performance in visual object tracking recently.  ...  The LaSOT Dataset: LaSOT is a recent dataset including 1400 sequences in 70 object categories, with an average sequence length of more than 2500 frames.  ... 
arXiv:2005.13708v1 fatcat:zo55gjj5krcdth6gbbagdpksbq

Siamese Cascaded Region Proposal Networks for Real-Time Visual Tracking

Heng Fan, Haibin Ling
2019 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)  
Addressing these issues, we propose a multi-stage tracking framework, Siamese Cascaded RPN (C-RPN), which consists of a sequence of RPNs cascaded from deep high-level to shallow low-level layers in a Siamese  ...  Nevertheless, previously proposed one-stage Siamese-RPN trackers degenerate in presence of similar distractors and large scale variation.  ...  Experiment on LaSOT LaSOT [10] is a recent large-scale dataset aiming at both training and evaluating trackers. There are 1,400 videos in LaSOT.  ... 
doi:10.1109/cvpr.2019.00814 dblp:conf/cvpr/FanL19 fatcat:33vahhdfgjhhxf43dxbnvf35si

Enhanced Bounding Box Estimation with Distribution Calibration for Visual Tracking

Bin Yu, Ming Tang, Guibo Zhu, Jinqiao Wang, Hanqing Lu
2021 Sensors  
We assume every dimension in the modulation vector follows a Gaussian distribution, so that the mean and the variance can borrow from those of similar targets in large-scale training datasets.  ...  It yields state-of-the-art performance on three popular benchmarks, including GOT-10k, LaSOT, and NfS while running at around 40 FPS, confirming its effectiveness and efficiency.  ...  Results on LaSOT Dataset LaSOT [22] is a large-scale benchmark for long-term single-object tracking. The test set consists of 280 high-quality sequences.  ... 
doi:10.3390/s21238100 pmid:34884103 fatcat:pz6xuufej5gefo5m2nrxaavopq

SiamRDT: An Object Tracking Algorithm Based on a Reliable Dynamic Template

Qian Zhang, Zihao Wang, Hong Liang
2022 Symmetry  
We conduct sufficient ablation experiments to illustrate the effectiveness of the proposed key components, and the tracker achieves very competitive results on four large-scale tracking benchmarks, namely  ...  Our tracker achieves an AO score of 61.3 on GOT-10k, a precision score of 56.5 on LaSOT, a precision score of 69.3 on TrackingNet, and a precision score of 90.5 on OTB100.  ...  Data Availability Statement: Data was obtained from http://cvlab.hanyang.ac.kr/tracker_benchmark/ datasets.html. http://got-10k.aitestunion.com/. https://tracking-net.org/.  ... 
doi:10.3390/sym14040762 fatcat:b3cdic27ezg3noh4ixm6t37cii

An Informative Tracking Benchmark [article]

Xin Li and Qiao Liu and Wenjie Pei and Qiuhong Shen and Yaowei Wang and Huchuan Lu and Ming-Hsuan Yang
2021 arXiv   pre-print
Specifically, we first design a quality assessment mechanism to select the most informative sequences from existing benchmarks taking into account 1) challenging level, 2) discriminative strength, 3) and  ...  In this work, we develop a principled way to construct a small and informative tracking benchmark (ITB) with 7% out of 1.2 M frames of existing and newly collected datasets, which enables efficient evaluation  ...  Numerous tracking benchmarks have been proposed to evaluate tracking performance mainly with single challenging attributes [36] , such as occlusion, scale variation, and fast motion, or a specific scenario  ... 
arXiv:2112.06467v1 fatcat:tyu6ahfcmfg27dbd4qfovw5x2i
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