Results 31 to 40 of about 2,799,679 (274)
Parametric Trajectory Representations for Behaviour Classification [PDF]
This paper presents an empirical comparison of strategies for representing motion trajectories with fixed-length vectors. We compare four techniques, which have all previously been adopted in the trajectory classification literature: least-squares cubic spline approximation, the Discrete Fourier Transform, Chebyshev polynomial approximation, and the ...
Rowland R. Sillito, Robert B. Fisher
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In power fingerprint identification, feature information is insufficient when using a single feature to identify equipment, and small load data of specific customers, difficult to meet the refined equipment classification needs.
Lin Lin +5 more
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Trajectory Classification Method Based on Probability Density Estimation of Regional Distribution [PDF]
Regional distribution is an important feature of moving target,which can be used for target trajectory classification.Previous methods assumed that segments of trajectories distribute as rectangles or Gaussian components,thus the accuracy of trajectory ...
CAO Weiquan,LI Zhixiang,WEI Qiang,CHU Yanjie
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Automated multigravity assist trajectory planning with a modified ant colony algorithm [PDF]
The paper presents an approach to transcribe a multigravity assist trajectory design problem into an integrated planning and scheduling problem. A modified Ant Colony Optimization (ACO) algorithm is then used to generate optimal plans corresponding to ...
Vasile, Massimiliano, Ceriotti, Matteo
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Multi-scale classification of moving objects trajectories [PDF]
In this paper we propose a classification model for moving objects trajectories. We assume that the classification is based on a multiscale map, and we simply define a trajectory pattern as the sequence of zones an object crosses during its travel. These patterns constitute the basis of classification operators.
Du Mouza, Cedric, Rigaux, Philippe
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On Aircraft Trajectory Type Recognition Based on Frequent Route Patterns [PDF]
With the development of global positioning and radar technology,more and more trajectory data can be collected.In particular,trajectories generated by aircrafts,ships,migratory birds are complicated and varied,and free from any constraints on the ground ...
SONG Jia-geng, ZHANG Fu-sang, JIN Bei-hong, DOU Zhu-mei
doaj +1 more source
Research on trajectory hierarchical classification based on deep learning networks [PDF]
In response to the issue that existing trajectory classification methods fail to fully consider the time series features and spatial structure features of trajectories, leading to a decline in classification accuracy, this paper proposes a trajectory ...
WANG Yifan, JI Linna, YANG Fengbao
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Discovering Heterogeneous Subsequences for Trajectory Classification
In this paper we propose a new parameter-free method for trajectory classification which finds the best trajectory partition and dimension combination for robust trajectory classification. Preliminary experiments show that our approach is very promising.
Carlos Andres Ferrero +4 more
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Automatic object classification for surveillance videos. [PDF]
PhDThe recent popularity of surveillance video systems, specially located in urban scenarios, demands the development of visual techniques for monitoring purposes.
Fernandez Arguedas, Virginia
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