A novel tracking algorithm via feature points matching

scientific article published on 24 January 2015

A novel tracking algorithm via feature points matching is …
instance of (P31):
scholarly articleQ13442814

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P819ADS bibcode2015PLoSO..1016315L
P356DOI10.1371/JOURNAL.PONE.0116315
P932PMC publication ID4305306
P698PubMed publication ID25617769
P5875ResearchGate publication ID271536975

P2093author name stringQiang Chen
Nan Luo
Zexuan Ji
Deshen Xia
Quansen Sun
P2860cites workMean shift trackers with cross-bin metrics.Q51539700
Distinctive Image Features from Scale-Invariant KeypointsQ54155936
The Divergence and Bhattacharyya Distance Measures in Signal SelectionQ56432487
Robust mean-shift tracking with corrected background-weighted histogramQ57809655
Scale and orientation adaptive mean shift trackingQ57809666
A performance evaluation of local descriptorsQ27461536
Mean shift: a robust approach toward feature space analysisQ29030425
DAISY: an efficient dense descriptor applied to wide-baseline stereoQ30979850
Tracking-Learning-DetectionQ39677187
Differential earth mover's distance with its applications to visual trackingQ48826885
Support vector trackingQ48956152
P275copyright licenseCreative Commons Attribution 4.0 InternationalQ20007257
P6216copyright statuscopyrightedQ50423863
P433issue1
P407language of work or nameEnglishQ1860
P304page(s)e0116315
P577publication date2015-01-24
P1433published inPLOS OneQ564954
P1476titleA novel tracking algorithm via feature points matching
P478volume10

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Q50041726A parallel spatiotemporal saliency and discriminative online learning method for visual target tracking in aerial videoscites workP2860

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