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Filters
FuCoLoT -- A Fully-Correlational Long-Term Tracker
[article]
2019
arXiv
pre-print
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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]
2019
Lecture Notes in Computer Science
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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
2022
Symmetry
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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
2018
International Journal of Computer Vision
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2017 pre-print arXiv:1707.02309v1 fatcat:xxpmbh42qngl5aw3inwzebgnbqOther Versions
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
2021
Sensors
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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
2018
DEStech Transactions on Computer Science and Engineering
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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]
2019
arXiv
pre-print
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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
2018
Turkish Journal of Electrical Engineering and Computer Sciences
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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
2020
Computing
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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
2019
IEEE Access
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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]
2019
arXiv
pre-print
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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
2015
2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
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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
2017
Proceedings of the 10th International Symposium on Image and Signal Processing and Analysis
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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]
2015
arXiv
pre-print
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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]
2019
arXiv
pre-print
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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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