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FuCoLoT -- A Fully-Correlational Long-Term Tracker [article]

Alan Lukežič, Luka Čehovin Zajc, Tomáš Vojíř, Jiří Matas, Matej Kristan
2019 arXiv   pre-print
We propose FuCoLoT -- a Fully Correlational Long-term Tracker.  ...  A novel mechanism based on the correlation response is used for tracking failure estimation.  ...  Fully correlational long-term tracker In the following we describe the proposed long-term tracking approach based on constrained discriminative correlation filters.  ... 
arXiv:1711.09594v2 fatcat:a5piigayn5dgzgfcfhghyva3za

The Sixth Visual Object Tracking VOT2018 Challenge Results [chapter]

Matej Kristan, Aleš Leonardis, Jiří Matas, Michael Felsberg, Roman Pflugfelder, Luka Čehovin Zajc, Tomáš Vojír̃, Goutam Bhat, Alan Lukežič, Abdelrahman Eldesokey, Gustavo Fernández, Álvaro García-Martín (+143 others)
2019 Lecture Notes in Computer Science  
A long-term tracking subchallenge has been introduced to the set of standard VOT sub-challenges.  ...  The new subchallenge focuses on long-term tracking properties, namely coping with target disappearance and reappearance.  ...  In long-term tracking, few trackers can re-detect the object after tracking failures.  ... 
doi:10.1007/978-3-030-11009-3_1 fatcat:wbfi2kp3rze33cl2o56eauhooq

Learning Multifeature Correlation Filter and Saliency Redetection for Long-Term Object Tracking

Liqiang Liu, Tiantian Feng, Yanfang Fu
2022 Symmetry  
perform poorly in long-term tracking.  ...  However, most of the correlation filter (CF)-based trackers cannot deal with the tracking results and lack the effective mechanism to adjust the tracked errors during the tracking process, thus usually  ...  Recently, many trackers have been proposed based on the DCF framework to improve the tracking performance in long-term tracking, which is more difficult compared to short-term tracking due to the occlusion  ... 
doi:10.3390/sym14050911 fatcat:2ozke24i2nfftnferxekcftvmy

Adaptive Correlation Filters with Long-Term and Short-Term Memory for Object Tracking

Chao Ma, Jia-Bin Huang, Xiaokang Yang, Ming-Hsuan Yang
2018 International Journal of Computer Vision  
In this paper, we propose to learn multiple adaptive correlation filters with both long-term and short-term memory of target appearance for robust object tracking.  ...  We use the output responses of this long-term filter to determine if tracking failure occurs.  ...  [26] (MUSTer) which also exploits the long-term and shortterm memory for correlation filter based tracking.  ... 
doi:10.1007/s11263-018-1076-4 fatcat:ugwmbthzrjh3hhowhl6ph7y6bu

Efficient and Practical Correlation Filter Tracking

Chengfei Zhu, Shan Jiang, Shuxiao Li, Xiaosong Lan
2021 Sensors  
In addition, we expand our new tracker to long-term tracking.  ...  In this paper, we explore the update scheme of correlation filter-based trackers and propose an efficient and adaptive training sample update scheme.  ...  Based on the memory model, a short-term memory module based on correlation filter tracking and a long-term memory module based on SIFT [31] local features are maintained, the central control module synthesizes  ... 
doi:10.3390/s21030790 pmid:33503940 pmcid:PMC7865341 fatcat:mmhnc2vrsvh3rkct5dgvppznh4

A New Approach for Train Driver Tracking in Real Time

Ming-yu WANG, Si-le WANG, Li-ping CHEN, Xiang-yang CHEN, Zhen-chao CUI, Wen-zhu YANG
2018 DEStech Transactions on Computer Science and Engineering  
In this paper, we propose a real-time algorithm based on correlation filters for long-term human tracking.  ...  But long-term robust human tracking is still a challenging task due to many practical factors.  ...  Summary This paper introduced an approach based on correlation filters for long-term tracking.  ... 
doi:10.12783/dtcse/icmsa2018/23221 fatcat:55bg36day5a4tby4ukvu6drgve

A Review of Visual Trackers and Analysis of its Application to Mobile Robot [article]

Shaoze You, Hua Zhu, Menggang Li, Yutan Li
2019 arXiv   pre-print
Later we reviewed and evaluated the state-of-the-art progress on discriminative trackers from three directions: correlation filter, deep learning and convolutional features.  ...  Finally, we analyzed the research direction of visual tracker used in mobile robot, as well as outlined the future trends for visual tracker on mobile robot.  ...  HCFT* added a long-term memory filter wL to HCFT+ for long-term tracking. They proposed a region-based object re-detection and scale estimation scheme.  ... 
arXiv:1910.09761v1 fatcat:h5lw5gy3svdexir2sioi4lgmom

Long-term multiobject tracking using alternative correlation filters

Kemal Batuhan BAŞKURT, Refik SAMET
2018 Turkish Journal of Electrical Engineering and Computer Sciences  
Thus, motion detection results are used to initialize the trackers. The proposed object-tracking approach is realized with two types of independent correlation filters estimating location and scale.  ...  Motion blobs are also used to minimize object boundary drift, which is a challenging problem, especially for long-term tracking.  ...  Continuity of long-term tracking is achieved in this way. The paper is organized as follows.  ... 
doi:10.3906/elk-1709-245 fatcat:h5wyke6hzzduhcqfnwb2xk7f3y

Long-term real time object tracking based on multi-scale local correlation filtering and global re-detection

Qi Zhao, Boxue Zhang, Wenquan Feng, Zhiying Du, Hong Zhang, Daniel Sun
2020 Computing  
A novel tracking algorithm based on local correlation filtering and global keypoint matching is proposed to solve problems occurred during long-term tracking such as occlusion, target-losing, etc.  ...  This paper investigates long-term visual object tracking which is a complex problem in computer vision community and big data analysis, due to the variation of the target and the surrounding environment  ...  Combining the speed advantage of correlation filtering in local tracking with the scale and rotation invariance of keypoint in global detection, an accurate and robust long-term tracker is realized.  ... 
doi:10.1007/s00607-020-00807-8 fatcat:q6eamjh6cve35kxr2l7xmv3q3m

An optimal Long-Term aerial infrared object tracking algorithm with Re-detection

Xiaotian Wang, Kai Zhang, Shaoyi Li, Yangguang Hu, Jie Yan
2019 IEEE Access  
In this paper, we adopt correlation filtering trackers and deep learning detection method to achieve accurate tracking results.  ...  INDEX TERMS Aerial infrared object tracking, correlation filtering, deep learning detection, multi-feature fusion, APCE criterion.  ...  We adopt correlation filter and re-detection to track the target that may disappear, deform, or occlusion heavily in long-term tracking.  ... 
doi:10.1109/access.2019.2929749 fatcat:do6vki3uw5axfbiv4xirabgyo4

Tracking system of Mine Patrol Robot for Low Illumination Environment [article]

Shaoze You, Hua Zhu, Menggang Li, Lei Wang, Chaoquan Tang
2019 arXiv   pre-print
Third, we learned a long-term correlation filter to keep the long-term memory ability.  ...  In this work, we tackle the problems by introducing Low-Illumination Long-term Correlation Tracker (LLCT).  ...  Hence, this work proposes the development of a long-term real-time correlation filter (LRCF) tracker for long-term object tracking in low-illumination environments.  ... 
arXiv:1907.01806v3 fatcat:7fcppdvzwrhylpyuoo5fxn7pee

Long-term correlation tracking

Chao Ma, Xiaokang Yang, Chongyang Zhang, Ming-Hsuan Yang
2015 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)  
In addition, we train an online random fern classifier to re-detect objects in case of tracking failure.  ...  In this paper, we address the problem of long-term visual tracking where the target objects undergo significant appearance variation due to deformation, abrupt motion, heavy occlusion and out-of-view.  ...  This method differs significantly from existing correlation filters based tracking algorithms, which are prone to drifting in long-term tracking.  ... 
doi:10.1109/cvpr.2015.7299177 dblp:conf/cvpr/MaYZY15 fatcat:45hg4wqx75esrnolt75um7yjs4

Real-time face tracking under long-term full occlusions

Martin Soldic, Darijan Marcetic, Marijo Maracic, Darko Mihalic, Slobodan Ribaric
2017 Proceedings of the 10th International Symposium on Image and Signal Processing and Analysis  
position correlation filters (online learned) is used to recover the tracker from long-term full occlusions.  ...  The identified weaknesses of most of state-of-the-art trackers are inability to cope with long-term full occlusions, abrupt motion, detecting and tracking a reappeared target.  ...  ACKNOWLEDGMENTS This work has been supported by the Croatian Science Foundation under project 6733 De-identification for Privacy Protection in Surveillance Systems (DePPSS).  ... 
doi:10.1109/ispa.2017.8073586 dblp:conf/imspa/SoldicMMMR17 fatcat:kb6lz472vrgxdewrlhqyih6b34

An Experimental Survey on Correlation Filter-based Tracking [article]

Zhe Chen, Zhibin Hong, Dacheng Tao
2015 arXiv   pre-print
We find that further improvements for correlation filter-based tracking can be made on estimating scales, applying part-based tracking strategy and cooperating with long-term tracking methods.  ...  Over these years, Correlation Filter-based Trackers (CFTs) have aroused increasing interests in the field of visual object tracking, and have achieved extremely compelling results in different competitions  ...  As a consequence, introducing long-term tracking methods is believed to be favorable for improving correlation filter-based tracking methods.  ... 
arXiv:1509.05520v1 fatcat:5ict576pk5dgdfhg4jiqrbymv4

DAL – A Deep Depth-aware Long-term Tracker [article]

Yanlin Qian and Alan Lukežič and Matej Kristan and Joni-Kristian Kämäräinen and Jiri Matas
2019 arXiv   pre-print
In this work, we propose a deep depth-aware long-term tracker that achieves state-of-the-art RGBD tracking performance and is fast to run.  ...  We reformulate deep discriminative correlation filter (DCF) to embed the depth information into deep features. Moreover, the same depth-aware correlation filter is used for target re-detection.  ...  In the bottom three rows, the target appears from occlusion and are re-detected and tracked by our long-term tracker in a fast and accurate way. the depth input.  ... 
arXiv:1912.00660v1 fatcat:4lnrun5kirfy3ga4wo4m7cykqa
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