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Measures for ranking cell trackers without manual validation
2013
Pattern Recognition
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We approach this challenge by developing novel measures for ranking the association algorithms according to their performance without the need for a ground truth. ...
Cell tracking is often implemented as cell detection and data association steps. For a particular detection output it is a challenge to automatically select the best association algorithm. ...
Acknowledgments We would like to thank Dr Khuloud Jaqaman (Harvard Medical School) for the advice regarding u-track; Dr Zhaozheng Yin (Carnegie Mellon University) for sharing the videos of wound healing ...
doi:10.1016/j.patcog.2013.04.007
fatcat:2cypnkl2zzafbeau5ngirvlig4
Ranking cell tracking systems without manual validation
2015
Pattern Recognition Letters
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Given an estimate of the cell size only, our method is capable of ranking the trackers according to their performance on the given video without the need for ground truth. ...
The challenge that we address in this paper is automated selection and tuning of cell tracking systems without the need for manual annotation. ...
Here we propose a novel method for ranking CTSs without the need for ground truth and using minimum user input. We Fig. 3 . ...
doi:10.1016/j.patrec.2014.11.005
fatcat:mmdkxuvumve5jb53g5g5wogio4
AR-Tracker: Track the Dynamics of Mobile Apps via User Review Mining
2015
2015 IEEE Symposium on Service-Oriented System Engineering
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In this paper, we propose 'AR-Tracker', a new framework to mine user reviews without the need of human labeling and track the dynamics from the top-ranked reviews. ...
Additionally, a case study on Facebook reviews further validates the effectiveness of 'AR-Tracker' in tracking the dynamics. ...
In the paper, we propose a novel review-ranking scheme without manual labeling for filtering. Also, we produce a new index for measuring the proportion of informative reviews in the top reviews. ...
doi:10.1109/sose.2015.13
dblp:conf/sose/GaoXHZ15
fatcat:c5oucvw4uzaltcnxkg6oyqzvkm
A Novel Performance Evaluation Methodology for Single-Target Trackers
2016
IEEE Transactions on Pattern Analysis and Machine Intelligence
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We consider the performance measures, the dataset and the evaluation system to be the most important components of tracker evaluation and propose requirements for each of them. ...
The ranking-based methodology addresses tracker equivalence in terms of statistical significance and practical differences. ...
The average accuracy of the i-th tracker, ρ A (i), over some set of N valid valid frames is then calculated as the average of per-frame accuracies ρ A (i) = 1 N valid N valid j=1 Φ j (i). (2) In contrast ...
doi:10.1109/tpami.2016.2516982
pmid:26766217
fatcat:wu5z6tgglfgyjkl3ihgpe7q5tu
Tracking Revisited Using RGBD Camera: Unified Benchmark and Baselines
2013
2013 IEEE International Conference on Computer Vision
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This may be a game changer for tracking, since depth can be used to prevent model drift and handle occlusion. ...
We aim to lay the foundation for further research in both RGB and RGBD tracking, and our benchmark is available at ...
Under occlusion, the tracker outputs the best valid detection or segmentation result, as described in the section below. ...
doi:10.1109/iccv.2013.36
dblp:conf/iccv/SongX13
fatcat:gvqvz5m7arg63ds7753b7jc7ia
Efficient video annotation with visual interpolation and frame selection guidance
[article]
2020
arXiv
pre-print
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by 35% over an off-the-shelf tracker. ...
Finally, we run human annotation experiments and provide extensive analysis of the results, showing that our approach reduces actual measured annotation time by 50% compared to commonly used linear interpolation ...
[13] mentions using tracking to propagate bounding boxes between manual annotations without any further details. ...
arXiv:2012.12554v1
fatcat:o6z22kew4fhdjeb2ot2ogpy5zq
Automated and semi-automated cell tracking: addressing portability challenges
2011
Journal of Microscopy
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For the range of real videos tested, our tracker correctly recovers on average 96% of cell moves, and outperforms an advanced probabilistic tracker when the cell detection quality is high. ...
We also propose a parameter-free variation of our tracker. In the tracker, we employ a novel method for recovering the distribution of cell displacements. ...
Acknowledgments We would like to thank Daniel Day from the Center for Micro-Photonics at Swinburne University of Technology for supply of the 125 µm microgrids. ...
doi:10.1111/j.1365-2818.2011.03529.x
pmid:21895653
fatcat:rbrgjsqsi5f5vflipml4ch5m7a
The Visual Object Tracking VOT2016 Challenge Results
[chapter]
2016
Lecture Notes in Computer Science
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For each participating tracker, a short description is provided in the Appendix. ...
Results of 70 trackers are presented, with a large number of trackers being published at major computer vision conferences and journals in the recent years. ...
Trackers submitted Together 48 valid entries have been submitted to the VOT2016 challenge. ...
doi:10.1007/978-3-319-48881-3_54
fatcat:2hbd6hnvtnbfzn7vwwgqaqg6o4
Automated deep lineage tree analysis using a Bayesian single cell tracking approach
[article]
2020
bioRxiv
pre-print
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Benchmarking tests, including lineage tree reconstruction assessments, demonstrate that our approach yields high-fidelity results and achieves state-of-the-art performance without the requirement for manual ...
curation of the tracker output data. ...
To train and validate the network, we manually annotated a dataset of 150 fluorescent images (130 training, 20 validation, comprising 56,362 cells) and trained the U-Net to output a binary segmentation ...
doi:10.1101/2020.09.10.276980
fatcat:xszglctzznfzbdtqkdc74thnuy
An empirical study on requirements traceability using eye-tracking
2012
2012 28th IEEE International Conference on Software Maintenance (ICSM)
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We analyse the obtained data to identify and rank developers' preferred source code entities (SCEs), e.g., class names, method names. ...
Second, we use the ranked SCEs to propose two new weighting schemes called SE/IDF (source code entity/inverse document frequency) and DOI/IDF (domain or implementation/inverse document frequency) to recover ...
ACKNOWLEDGMENT The authors would like to thank the participants of the study as this work would not be possible without their collaboration. ...
doi:10.1109/icsm.2012.6405271
dblp:conf/icsm/AliSGA12
fatcat:t5lff2yefffbnjzcn3y7gjxu7a
Beyond standard benchmarks: Parameterizing performance evaluation in visual object tracking
[article]
2017
arXiv
pre-print
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Despite being crucial for designing robust trackers, their influence is poorly explored in standard benchmarks due to weakly defined, biased and overlapping attribute annotations. ...
Object-to-camera motion produces a variety of apparent motion patterns that significantly affect performance of short-term visual trackers. ...
Figure 8 shows the ranking differences between these trackers for the different ranking modes. The ranking by average performance differs mainly L1-APG and FoT trackers. ...
arXiv:1612.00089v2
fatcat:qpkavw7bxrhgfem4fn2dmymr3m
Long-term tracking of budding yeast cells in brightfield microscopy: CellStar and the Evaluation Platform
2017
Journal of the Royal Society Interface
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A contour match measure is used for both optimizations. ...
For each ground truth contour, the contour with the highest rank is selected. ...
doi:10.1098/rsif.2016.0705
pmid:28179544
pmcid:PMC5332563
fatcat:i4yxhvtn2ndi7phn7hpjsaw7am
The Seventh Visual Object Tracking VOT2019 Challenge Results
2019
2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW)
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Performance of the tested trackers typically by far exceeds standard baselines. The source code for most of the trackers is publicly available from the VOT page. ...
The evaluation included the standard VOT and other popular methodologies for short-term tracking analysis as well as the standard VOT methodology for long-term tracking analysis. ...
The SiamM Ds tracker is a modified version of SiamMask [96] to track objects in RGB and Depth images. SiamMask produces segmentation on the tracking target. ...
doi:10.1109/iccvw.2019.00276
dblp:conf/iccvw/KristanBZRGBDDN19
fatcat:ogwxim7cgjanxiwq7dddqs66gy
Robust Visual Tracking via Convolutional Networks without Training
2016
IEEE Transactions on Image Processing
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In this paper, we present that, even without offline training with a large amount of auxiliary data, simple two-layer convolutional networks can be powerful enough to learn robust representations for visual ...
These maps measure similarities between each filter and useful local intensity patterns across the target, thereby encoding its local structural information. ...
The area under curve (AUC) of each success plot serves as the second measure to rank the tracking algorithms. ...
doi:10.1109/tip.2016.2531283
pmid:26890870
fatcat:alzapsi2gbbvbnah5nulsvkbci
Digital dynamic discrimination of primary colorectal cancer using systemic indocyanine green with near-infrared endoscopy
2021
Scientific Reports
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Automated tracker quantification efficiently expanded manual results and provided algorithmic KNN clustering. Photobleaching appeared clinically irrelevant. ...
Early kinetic FI signal measurement delineated discriminative temporal signatures from tumours (n = 20, 9 cancers) offering rich data for analysis versus delayed spot measurement (n = 10 cancers). ...
plots for both (a) a benign lesion using the manual (ImageJ) method above and (b) a cancer using the automated Fluorescence Tracker App for endoluminal in vivo assessment while injecting 0.25 mg/kg ICG ...
doi:10.1038/s41598-021-90089-7
pmid:34059705
fatcat:lfmztucryjbrjmpch777kmjb6i
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