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Efficient Detection of Patterns in 2D Trajectories of Moving Points
2007
Geoinformatica
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Moving point object data can be analyzed through the discovery of patterns in trajectories. ...
These patterns are large enough subgroups of the moving point objects that exhibit similar movement in the sense of direction, heading for the same location, and/or proximity. ...
Acknowledgements The authors would like to thank Mark de Berg for helpful discussions on the presented subject, and an anonymous referee for comments that improved the exposition of this paper. ...
doi:10.1007/s10707-006-0002-z
fatcat:svcbdvqiovh6bht5ncz37w35em
Moving Targets Processing in SAR Spatial Domain
2007
IEEE Transactions on Aerospace and Electronic Systems
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The resulting algorithm is a highly efficient (from the computational point of view) 1D matched filter. ...
The proposed method samples the data in the spatial domain, along the signature curve which depends on the moving target trajectory parameters. ...
In fact, the primarily aim of the work presented here is moving target trajectory estimation and not moving target detection. ...
doi:10.1109/taes.2007.4383579
fatcat:dymjddhyfreotbs4rft2sofk6q
A LiDAR-Aided Indoor Navigation System for UGVs
2014
Journal of navigation
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An efficient LiDAR-based line features detection/tracking algorithm is proposed to estimate the relative changes in orientation and displacement of the vehicle. ...
In this paper, a tightly-coupled integrated navigation system that integrates two dimensional (2D) Light Detection and Ranging (LiDAR), Inertial Navigation System (INS), and odometry is introduced. ...
In motion pattern #1, the vehicle moves in straight lines most of the time while motion pattern #2 shows more flexible movement of the vehicle in a curved trajectory. ...
doi:10.1017/s037346331400054x
fatcat:anr2cl4hzzaylc35nprkyyhqai
UmUTracker: A versatile MATLAB program for automated particle tracking of 2D light microscopy or 3D digital holography data
2017
Computer Physics Communications
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2017 pre-print arXiv:1701.08025v1 fatcat:ca2vwcszm5cufeq7tgmpqzhzqiOther Versions
Our program detects the 2D lateral positions of particles with an algorithm based on the isosceles triangle transform, and reconstructs their 3D axial positions by a fast implementation of the Rayleigh-Sommerfeld ...
On a regular desktop computer UmUTracker can detect, analyze, and track multiple particles at 5 frames per second for a template size of 201 x 201 in a 1024 x 1024 image. ...
Additionally, the diffraction pattern of fast moving particles in the flow center are blurred and extended in the moving direction. ...
doi:10.1016/j.cpc.2017.05.029
fatcat:zqcmcmwbtncxzbjkpqvulfrw2m
SIMULTANEOUS DETECTION AND TRACKING OF PEDESTRIAN FROM PANORAMIC LASER SCANNING DATA
2016
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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The pedestrian detection and tracking amounts to assign the points belonging to pedestrians into continuous trajectories in space-time. ...
The method inherently filters out points from other moving objects and false detections. ...
These points on moving objects can be accumulated on an image which will illustrate the moving pattern and density of objects. ...
doi:10.5194/isprsannals-iii-3-295-2016
fatcat:qopdpfsofjht7ln53snyojxcba
SIMULTANEOUS DETECTION AND TRACKING OF PEDESTRIAN FROM PANORAMIC LASER SCANNING DATA
2016
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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The pedestrian detection and tracking amounts to assign the points belonging to pedestrians into continuous trajectories in space-time. ...
The method inherently filters out points from other moving objects and false detections. ...
These points on moving objects can be accumulated on an image which will illustrate the moving pattern and density of objects. ...
doi:10.5194/isprs-annals-iii-3-295-2016
fatcat:4cuynfvzwbh4pnpqi4ro3lhhd4
FiberClay: Sculpting Three Dimensional Trajectories to Reveal Structural Insights
2018
IEEE Transactions on Visualization and Computer Graphics
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FiberClay renders a large quantity of trajectories in real time using GP-GPU techniques. ...
As trajectories are inherently spatial and three dimensional, we propose FiberClay: a system to display and interact with 3D trajectories in immersive environments. ...
ACKNOWLEDGMENTS The authors acknowledge the support of the French National Agency for Research (Agence Nationale de la Recherche ANR) under the grant ANR-14-CE24-0006-01 project TERANOVA and the SESAR ...
doi:10.1109/tvcg.2018.2865191
pmid:30136994
fatcat:vujzuvgajfhjvjjegs7tsam7bi
SPATIAL MOTION PATTERNS: ACTION MODELS FROM SEMI-DENSE TRAJECTORIES
2014
International journal of pattern recognition and artificial intelligence
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A new binary pattern, called Spatial Motion Pattern (SMP) is proposed, which captures self similarity of velocity around each tracked point(particle), along its trajectory. ...
This operator highlights the geometric shape of rigid parts of moving objects in a video sequence. SMPs are combined with basic velocity information to form the local action primitives. ...
Laptev [3] detected space-time interest points in videos extending Harris corner criteria from 2d images to 3d. ...
doi:10.1142/s0218001414600118
fatcat:ar6wdytisfatxdwstwowfnkm3q
Indoor autonomous navigation using visual memory and pattern tracking
2004
Procedings of the British Machine Vision Conference 2004
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The environment map is a mosaic of 2D patterns detected on the ceiling plane and used as natural landmarks. ...
It uses both image contours and gray scale level variations to track efficiently 2D patterns on cluttered background. An original observation model used for filter state updating is presented. . ...
An example of mosaic: (a) a set of key-images with detected 2D patterns, (b) The mosaic and robot locations ...
doi:10.5244/c.18.68
dblp:conf/bmvc/Ait-AiderCL04
fatcat:627arwql75gb7kk6ogvcmq6gni
Identifying the Indoor Space Characteristics of an Urban Railway Station Based on Pedestrian Trajectory Data
2019
Journal of Advanced Transportation
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A methodology to cluster the characteristics of pedestrian space of a railway station through the pedestrian trajectory data collected from an actual operating station is proposed in this paper. ...
The procedure to cluster the indoor space characteristics of an urban railway station in this study consists of four steps: data collection, feature vector extraction, K-means clustering, and cluster characteristics ...
Conflicts of Interest The authors declare that there are no conflicts of interest regarding the publication of this paper. ...
doi:10.1155/2019/8401318
fatcat:gb5saragi5amnaqmx76bux47gm
ROAM: Rule- and Motif-Based Anomaly Detection in Massive Moving Object Data Sets
[chapter]
2007
Proceedings of the 2007 SIAM International Conference on Data Mining
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In ROAM, object trajectories are expressed using discrete pattern fragments called motifs. ...
Due to the sheer volume of data associated with moving objects, it is challenging to develop a method that can efficiently and effectively detect anomalies. ...
Traditional outlier detection [13] is closely tied to our problem. However, they are only concerned with fixed data points in 2D space. We focus on moving object data. ...
doi:10.1137/1.9781611972771.25
dblp:conf/sdm/LiHKG07
fatcat:fyotizzbufff7n5wl3x5733wue
Visualizing millisecond chaotic mixing dynamics in microdroplets: A direct comparison of experiment and simulation
2012
Biomicrofluidics
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Chaotic mixing patterns inside microdroplets In order to obtain a two-dimensional image of mixing pattern in a microdroplet, we translocated the scanning detection point across the channel at 1.0 lm intervals ...
We also plotted those photons at one data point (say at the data point of 0.9 ms in the trajectory shown in Fig. 7(a) ) versus their arrival times. ...
doi:10.1063/1.3673254
pmid:22662077
pmcid:PMC3365329
fatcat:ib5hwlsstrcw3gdaeq4cp6d7qq
Dynamics of multiple trapping by a single-beam laser tweezer
2005
Applied Optics
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Optimal parameters for efficient generation of complex arrays and matrices were determined. ...
We demonstrate an example of a single laser beam multiple-trap application by measuring the trap's stiffness in water for our laser tweezer setup. ...
The authors are with The Institute for Lasers, Photonics, and Biophotonics, State University of New York at Buffalo, 458 Natural Sciences Complex, Buffalo, New York 14260-3000. D. S. ...
doi:10.1364/ao.44.003963
pmid:16004041
fatcat:4nobr7vybvbpdhldhnkxnlmbla
FAST-Dynamic-Vision: Detection and Tracking Dynamic Objects with Event and Depth Sensing
[article]
2021
arXiv
pre-print
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However, dodging fast-moving objects in flight remains a challenge, limiting the further application of unmanned aerial vehicles (UAVs). ...
Then, for dynamic object detection, an event camera-based efficient regression algorithm is designed. ...
In this work, C 0 P = (x, y) is pointed as the pattern with the highest mean-timestamp, w and h are distributed as 1/2 of the image width and height. ...
arXiv:2103.05903v2
fatcat:bx4gx76ntrhczdhmvceh3336oa
Image-Based Localization Aided Indoor Pedestrian Trajectory Estimation Using Smartphones
2018
Sensors
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Therefore, the 3D-to-2D approach, which inversely matches the 3D points in the model against the 2D features in the image, is adopted to register images. ...
The efficiency is affected however, when the scenes become larger. At the core of correct SfM-based localization is the robust estimation of accurate 2D-3D matches. ...
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/s18010258
pmid:29342123
pmcid:PMC5795839
fatcat:3474ax677zffzd6jilxmny7q7q
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