Covariance features for trajectory analysis
| Autor: | Talha Karadeniz, Hadi Hakan Maras |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Dynamic time warping
Computer science 02 engineering and technology Covariance intersection Distance measures Estimation of covariance matrices Australian Sign Language 0202 electrical engineering electronic engineering information engineering sign language Rational quadratic covariance function Electrical and Electronic Engineering Time series Mathematics business.industry covariance matrices time series analysis 020206 networking & telecommunications Pattern recognition data mining Covariance Base (topology) language.human_language Matérn covariance function language Trajectory 020201 artificial intelligence & image processing Algorithm design lcsh:Electrical engineering. Electronics. Nuclear engineering Artificial intelligence business Algorithm lcsh:TK1-9971 |
| Zdroj: | SIU Elektronika ir Elektrotechnika, Vol 24, Iss 3, Pp 78-81 (2018) |
| DOI: | 10.1109/siu.2016.7496081 |
| Popis: | In this work, it is demonstrated that covariance estimator methods can be used for trajectory classification. It is shown that, features obtained via shrunk covariance estimation are suitable for describing trajectories. Compared to Dynamic Time Warping, application of explained technique is faster and yields more accurate results. An improvement of Dynamic Time Warping based on counting statistical comparison of base distance measures is also achieved. Results on Australian Sign Language and Character Trajectories datasets are reported. Experiment realizations imply feasibility through covariance attributes on time series. DOI: http://dx.doi.org/10.5755/j01.eie.24.3.15290 |
| Databáze: | OpenAIRE |
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