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Reliable Patch Trackers: Robust visual tracking by exploiting reliable patches

Yang Li, Jianke Zhu, Steven C.H. Hoi
2015 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)  
In this paper, we propose a new tracking method, Reliable Patch Trackers (RPT), which attempts to identify and exploit the reliable patches that can be tracked effectively through the whole tracking process  ...  Most modern trackers typically employ a bounding box given in the first frame to track visual objects, where their tracking results are often sensitive to the initialization.  ...  Acknowledgments The work was supported by National Natural Science Foundation of China under Grants (61103105 and 91120302).  ... 
doi:10.1109/cvpr.2015.7298632 dblp:conf/cvpr/LiZH15 fatcat:3xnzaizmn5eblhlmshzm6nxoqa

The Enhanced Flock of Trackers [chapter]

Tomáš Vojíř, Jiří Matas
2014 Studies in Computational Intelligence  
The FoT estimates the pose of the tracked object by robustly combining displacement estimates from a subset of local trackers that cover the object and has been.  ...  The enhancements of the Flock of Trackers are: (i) new reliability predictors for the local trackers -the Neighbourhood consistency predictor and the Markov predictor, (ii) new rules for combining the  ...  Acknowledgements The authors were supported by Czech Science Foundation Project GACR P103/12/G084 (JM) and by the Grant Agency of the CTU Prague project SGS13/142/OHK3/2T/13 (TV).  ... 
doi:10.1007/978-3-642-44907-9_6 fatcat:kczo5pvvufbazfvdctaqyrkcri

Handcrafted and Deep Trackers: Recent Visual Object Tracking Approaches and Trends [article]

Mustansar Fiaz, Arif Mahmood, Sajid Javed, Soon Ki Jung
2019 arXiv   pre-print
Finally, we sum up our study by pointing out some insights and indicating future trends in visual object tracking field.  ...  In the current study, we review latest trends and advances in the tracking area and evaluate the robustness of different trackers based on the feature extraction methods.  ...  which apply KCF as base tracker for each particle, and exploits local context by tracking the target with reliable patches.  ... 
arXiv:1812.07368v2 fatcat:e342qc453vemnfr63xdksyucfe

Motion Guided Siamese Trackers for Visual Tracking

Chenglong Wu, Yue Zhang, Yi Zhang, Wenkai Zhang, Hongqi Wang, Yunyan Zhang, Xian Sun
2020 IEEE Access  
of the target predicted by the Siamese tracker may be not smooth.  ...  Siamese trackers learn the appearance model of the target in the first frame and then exploit the model to locate the target in the subsequent frames.  ...  Inspired by the above works, Tao et al. [8] firstly proposed a tracking algorithm, named SINT tracker, which exploited Siamese network for visual tracking.  ... 
doi:10.1109/access.2020.2964269 fatcat:udrr722b2jehbc7kxststntdfa

Deep Feature Tracker: A Novel Application for Deep Convolutional Neural Networks [article]

Mostafa Parchami, Saif Iftekar Sayed
2021 arXiv   pre-print
Feature tracking is the building block of many applications such as visual odometry, augmented reality, and target tracking.  ...  In this paper, we proposed a novel and unified deep learning-based approach that can learn how to track features reliably as well as learn how to detect such reliable features for tracking purposes.  ...  The goal of this thesis is to advance the reliability and robustness of surgical vision methods for endoscopic images by developing real-time algorithms to accurately detect and track reliable features  ... 
arXiv:2108.00105v1 fatcat:px6hd3p6f5f63gbhm3tzmzrghy

Siamese Natural Language Tracker: Tracking by Natural Language Descriptions with Siamese Trackers [article]

Qi Feng, Vitaly Ablavsky, Qinxun Bai, Stan Sclaroff
2021 arXiv   pre-print
We propose a novel Siamese Natural Language Tracker (SNLT), which brings the advancements in visual tracking to the tracking by natural language (NL) descriptions task.  ...  The proposed SNLT is applicable to a wide range of Siamese trackers, providing a new class of baselines for the tracking by NL task and promising future improvements from the advancements of Siamese trackers  ...  On the other hand, a series of Siamese trackers are introduced by exploiting a siamese convolutional neural network architecture for tracking by detection.  ... 
arXiv:1912.02048v2 fatcat:l2du46dacfamxnatyvgqyr4bje

Consistent multi-layer subtask tracker via hyper-graph regularization

Baojie Fan, Yang Cong
2017 Pattern Recognition  
The tracking task is completed by the collaboration of multi-layer subtasks. Different subtasks correspond to the tracking of different parts in the target area.  ...  Moreover, a collaborate metric scheme is developed to find the best candidate, by concerning both discrimination reliability and representation accuracy.  ...  Acknowledgments This work has been funded by China Postdoctoral Science  ... 
doi:10.1016/j.patcog.2017.02.008 fatcat:hj7iif3iefcknirwm4j63vbyly

Learning Temporal Regularized Correlation Filter Tracker with Spatial Reliable Constraint

Lei Pu, Xinxi Feng, Zhiqiang Hou
2019 IEEE Access  
INDEX TERMS Visual tracking, correlation filter, convolutional neural network, spatial constraint, temporal regularization.  ...  In this paper, we construct the spatial reliable map with deep features from Convolutional Neural Network, then the map is used to adjust the filter support to the part of the object suitable for tracking  ...  CORRELATION FILTER Correlation filters have recently attracted considerable attention in visual tracking due to computational efficiency and robustness.  ... 
doi:10.1109/access.2019.2922416 fatcat:mzli7ni3bfes5bb6f7rstypkvy

Robust Visual Tracking by Exploiting the Historical Tracker Snapshots

Jiatong Li, Zhibin Hong, Baojun Zhao
2015 2015 IEEE International Conference on Computer Vision Workshop (ICCVW)  
In this paper, we show that these failures can be effectively handled by exploiting the trajectory consistency between the current tracker and its historical trained snapshots.  ...  SME is extensively evaluated on the 51 sequences tracking benchmark and VOT2015 dataset.  ...  Acknowledgment This project is supported by International Graduate Exchange Program of Beijing Institute of Technology.  ... 
doi:10.1109/iccvw.2015.82 dblp:conf/iccvw/LiHZ15 fatcat:ee4cfzeolbbbhfzhyy3utv3x5m

Updatable Siamese Tracker with Two-stage One-shot Learning [article]

Xinglong Sun, Guangliang Han, Lihong Guo, Tingfa Xu, Jianan Li, Peixun Liu
2021 arXiv   pre-print
Then, an updatable Siamese network is proposed based on the learner (SiamTOL), which is able to complement online update by itself.  ...  However, they often fail to track an object in complex scenes due to the incapacity in online update.  ...  The features from diverse phases are combined by a residual module to generate a reliable tracking template.  ... 
arXiv:2104.15049v1 fatcat:wzhotgpqcfczlo6dqzlg6xbcye

Robust Multi-body Feature Tracker: A Segmentation-free Approach [article]

Pan Ji, Hongdong Li, Mathieu Salzmann, Yiran Zhong
2016 arXiv   pre-print
This paper introduces a novel multi-body feature tracker that exploits a multi-body rigidity assumption to improve tracking robustness under a general perspective camera model.  ...  Feature tracking is a fundamental problem in computer vision, with applications in many computer vision tasks, such as visual SLAM and action recognition.  ...  They relied on the original KLT tracker to get a set of reliable tracks, and explicitly factorized the reliable trajectory matrix into two low-rank matrices with the rank given a priori.  ... 
arXiv:1603.00110v2 fatcat:nfrtfzbhmbbfrntzvqwqavvtwa

An Overview of Compressive Trackers

Zhongyi Hu, Lei Xiao, Fei Teng
2016 International Journal of Signal Processing, Image Processing and Pattern Recognition  
Compressive tracking is considerably popular in the visual tracking community in recent years.  ...  Then the main goal for these compressive trackers is to design a dynamic and observation model for the tracking system.  ...  Introduction Compressive tracking becomes an important branch among the extremely active visual tracking community and there are a wide range of compressive trackers demonstrating superior performances  ... 
doi:10.14257/ijsip.2016.9.9.11 fatcat:rkezgzfxyrh6jnz7iaz7angxfy

Occlusion Aware Kernel Correlation Filter Tracker using RGB-D [article]

Srishti Yadav
2021 arXiv   pre-print
This thesis first details the workings prototype of the tracker and investigates its effectiveness in real-time applications and supporting visualizations.  ...  Unlike deep learning which requires large training datasets, correlation filter-based trackers like Kernelized Correlation Filter (KCF) uses implicit properties of tracked images (circulant matrices) for  ...  CSRDCF [104] (and its C++ implementation CSRcpp) improves DCF trackers by introducing spatial and channel reliability.  ... 
arXiv:2105.12161v1 fatcat:kemrvvyqlba6dg3gwxnbcvfjdi

Object Tracking with Adaptive Multicue Incremental Visual Tracker

Jiang-tao Wang, De-bao Chen, Jing-ai Zhang, Su-wen Li, Xing-jun Wang
2014 Advances in Multimedia  
Generally, subspace learning based methods such as the Incremental Visual Tracker (IVT) have been shown to be quite effective for visual tracking problem.  ...  Experimental results demonstrate that subspace-based tracking is strongly improved by exploiting the multiple cues through the proposed algorithm.  ...  Acknowledgments This work is jointly supported by the National Natural Science Foundation of China (nos. 61203272, 41275027, and 61304082) and the Natural Science Foundation of Anhui Province (1308085MF82  ... 
doi:10.1155/2014/343860 fatcat:wsp7qywl7jbwzanzdti72fdaie

Online adaptive complementation tracker

Guokai Shi, Tingfa Xu, Jiqiang Luo, Jie Guo, Zhitao Rao
2018 EURASIP Journal on Wireless Communications and Networking  
The robustness of the model also can be improved by training each sub tracker with the result of historical tracking.  ...  We jointly learn the sub trackers and their reliability weights by regression analysis of the corresponding historical tracking results.  ...  Reliability weights obtained by Eq. 13 can reflect the reliability of the corresponding sub model.  ... 
doi:10.1186/s13638-018-1198-y fatcat:kypc2jz4zba5xgj5nu3zf33puu
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