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Efficient Detection of Patterns in 2D Trajectories of Moving Points

Joachim Gudmundsson, Marc van Kreveld, Bettina Speckmann
2007 Geoinformatica  
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

P.A.C. Marques, J.M. Bioucas Dias
2007 IEEE Transactions on Aerospace and Electronic Systems  
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

Shifei Liu, Mohamed Maher Atia, Tashfeen B. Karamat, Aboelmagd Noureldin
2014 Journal of navigation  
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

Hanqing Zhang, Tim Stangner, Krister Wiklund, Alvaro Rodriguez, Magnus Andersson
2017 Computer Physics Communications  
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

Wen Xiao, Bruno Vallet, Konrad Schindler, Nicolas Paparoditis
2016 ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
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

Wen Xiao, Bruno Vallet, Konrad Schindler, Nicolas Paparoditis
2016 ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
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

Christophe Hurter, Nathalie Henry Riche, Steven M. Drucker, Maxime Cordeil, Richard Alligier, Romain Vuillemot
2018 IEEE Transactions on Visualization and Computer Graphics  
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

THANH PHUONG NGUYEN, ANTOINE MANZANERA, MATTHIEU GARRIGUES, NGOC-SON VU
2014 International journal of pattern recognition and artificial intelligence  
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

O. Ait Aider, T. Chateau, J.T. Lapresté
2004 Procedings of the British Machine Vision Conference 2004  
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

Eunbi Jeong, Soyoung Iris You, Jun Lee, Daeseop Moon
2019 Journal of Advanced Transportation  
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]

Xiaolei Li, Jiawei Han, Sangkyum Kim, Hector Gonzalez
2007 Proceedings of the 2007 SIAM International Conference on Data Mining  
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

Liguo Jiang, Yan Zeng, Hongbo Zhou, Jianan Y. Qu, Shuhuai Yao
2012 Biomicrofluidics  
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

Daniel S. Kaputa, Andrey N. Kuzmin, Aliaksandr V. Kachynski, Alexander N. Cartwright, Paras N. Prasad
2005 Applied Optics  
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]

Botao He, Haojia Li, Siyuan Wu, Dong Wang, Zhiwei Zhang, Qianli Dong, Chao Xu, Fei Gao
2021 arXiv   pre-print
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

Yan Zhou, Xianwei Zheng, Ruizhi Chen, Hanjiang Xiong, Sheng Guo
2018 Sensors  
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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