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Journal articles on the topic 'Moving points'

Author: Grafiati

Published: 4 June 2021

Last updated: 6 February 2022

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1

Agarwal, Pankaj K., Lars Arge, and Jeff Erickson. "Indexing Moving Points." Journal of Computer and System Sciences 66, no. 1 (2003): 207–43. http://dx.doi.org/10.1016/s0022-0000(02)00035-1.

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2

Albers, Gerhard, Leonidas J. Guibas, Joseph S. B. Mitchell, and Thomas Roos. "Voronoi Diagrams of Moving Points." International Journal of Computational Geometry & Applications 08, no. 03 (1998): 365–79. http://dx.doi.org/10.1142/s0218195998000187.

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Consider a set of n points in d-dimensional Euclidean space, d ≥ 2, each of which is continuously moving along a given individual trajectory. As the points move, their Voronoi diagram changes continuously, but at certain critical instants in time, topological events occur that cause a change in the Voronoi diagram. In this paper, we present a method of maintaining the Voronoi diagram over time, at a cost of O( log n) per event, while showing that the number of topological events has an upper bound of O(ndλs(n)), where λs(n) is the (nearly linear) maximum length of a (n,s)-Davenport-Schinzel se

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3

Jiang, Y., H. Badr, and J. M. Floryan. "Thermocapillary convection with moving contact points." Physics of Fluids 15, no. 2 (2003): 442–54. http://dx.doi.org/10.1063/1.1533754.

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4

Bautista-Santiago, C., J. M. Díaz-Báñez, R. Fabila-Monroy, D. Flores-Peñaloza, D. Lara, and J. Urrutia. "Covering moving points with anchored disks." European Journal of Operational Research 216, no. 2 (2012): 278–85. http://dx.doi.org/10.1016/j.ejor.2011.07.048.

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5

Zhang, Jun, Deng-feng Ren, Xin-jian Ma, Jun-jie Tan, and Xiao-wei Cai. "A Meshless Solution Method for Unsteady Flow with Moving Boundary." Advances in Mechanical Engineering 6 (January 1, 2014): 209575. http://dx.doi.org/10.1155/2014/209575.

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Using the concept of overlapping mesh method for reference, a new method called as Overlapping Clouds of Points Method (OCPM) is firstly proposed to simulate unsteady flow with moving boundary problems based on meshless method. Firstly, a set of static background discrete points is generated in the whole calculation zone. Secondly, moving discrete points are created around moving body. According to the initial position of moving object in the flow field, the two sets of discrete points can be overlapped. With the motion of moving objects in the calculation field, moving discrete points around

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6

Hebbar, H. V., and N. Vadiraja. "Limit points of sequences of moving maxima." Statistics & Probability Letters 34, no. 1 (1997): 13–18. http://dx.doi.org/10.1016/s0167-7152(96)00160-5.

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7

Veenman, C. J., M. J. T. Reinders, and E. Backer. "Resolving motion correspondence for densely moving points." IEEE Transactions on Pattern Analysis and Machine Intelligence 23, no. 1 (2001): 54–72. http://dx.doi.org/10.1109/34.899946.

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8

Knight, Eric L., and Gary C. Curhan. "Albuminuria: moving beyond traditional microalbuminuria cut-points." Current Opinion in Nephrology and Hypertension 12, no. 3 (2003): 283–84. http://dx.doi.org/10.1097/00041552-200305000-00009.

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9

Devillers, O., M. Golin, K. Kedem, and S. Schirra. "Queries on Voronoi diagrams of moving points." Computational Geometry 6, no. 5 (1996): 315–27. http://dx.doi.org/10.1016/0925-7721(95)00053-4.

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10

Wan, Yanli, Xifu Wang, and Hongpu Hu. "Automatic Moving Object Segmentation for Freely Moving Cameras." Mathematical Problems in Engineering 2014 (2014): 1–11. http://dx.doi.org/10.1155/2014/574041.

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This paper proposes a new moving object segmentation algorithm for freely moving cameras which is very common for the outdoor surveillance system, the car build-in surveillance system, and the robot navigation system. A two-layer based affine transformation model optimization method is proposed for camera compensation purpose, where the outer layer iteration is used to filter the non-background feature points, and the inner layer iteration is used to estimate a refined affine model based on the RANSAC method. Then the feature points are classified into foreground and background according to th

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11

Lai, Yisheng, Falai Chen, and Xiaoran Shi. "Implicitizing rational surfaces without base points by moving planes and moving quadrics." Computer Aided Geometric Design 70 (March 2019): 1–15. http://dx.doi.org/10.1016/j.cagd.2019.03.001.

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12

Liu, Shou Bin, and Kun Feng. "Point Cloud Segmentation Based on Moving Probability." Applied Mechanics and Materials 380-384 (August 2013): 1796–99. http://dx.doi.org/10.4028/www.scientific.net/amm.380-384.1796.

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This paper presents a novel automatic algorithm for point cloud segmentation by using moving probability. An arbitrary point in point cloud is selected as the first seed point. Starting from the seed point, moving probability between the starting point and each of neighborhood points is estimated. Once one or more points with probabilities greater than a given threshold are identified, the starting point will move to these neighborhood points and new starting points are generated. Moving probabilities are estimated again and starting points move continually until all calculated probabilities a

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13

Zhuk, R. S. "Automatic detection and tracking the moving objects observed by an unmanned aerial vehicles video camera." Informatics 18, no. 2 (2021): 83–97. http://dx.doi.org/10.37661/1816-0301-2021-18-2-83-97.

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An algorithm of automatic detection and tracking the moving objects for the use in equipment on board of unmanned aerial vehicles is considered. The developed algorithm is based on a tracking specially selected points for a certain period. Tracked points are selected from the areas on the current frame, where the pixel intensity differs from the intensities of the same pixels in previous frames, aligned with the current frame using projective transformation. If the displacement of the tracked points is not fixed on several adjacent frames, they are being deleted, and new points from the areas

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14

BASCH, JULIEN, HARISH DEVARAJAN, PIOTR INDYK, and LI ZHANG. "PROBABILISTIC ANALYSIS FOR DISCRETE ATTRIBUTES OF MOVING POINTS." International Journal of Computational Geometry & Applications 13, no. 01 (2003): 5–22. http://dx.doi.org/10.1142/s0218195903001050.

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We perform a probabilistic study of discrete attributes of moving points. In our probabilistic model, an item is given an initial position and a velocity drawn independently at random from the same distribution. We study the expected number of changes that happen to the closest pair, the Voronoi diagram, and the convex hull of a set of such moving items.

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15

Faivre-Finn, C. "SP-0407 CURRENT PRACTICE AND MOVING POINTS: LUNG." Radiotherapy and Oncology 103 (May 2012): S164. http://dx.doi.org/10.1016/s0167-8140(12)70746-6.

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16

Krengli, M., and L. Deantonio. "SP-0573 CURRENT PRACTICE AND MOVING POINTS: SARCOMA." Radiotherapy and Oncology 103 (May 2012): S230. http://dx.doi.org/10.1016/s0167-8140(12)70912-x.

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17

Dieckmann, K. "SP-0169 CURRENT PRACTICE AND MOVING POINTS: PAEDIATRICS." Radiotherapy and Oncology 103 (May 2012): S66. http://dx.doi.org/10.1016/s0167-8140(12)70508-x.

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18

Nakai, Mitsuru. "The Dependence of Capacities on moving Branch points." Nagoya Mathematical Journal 186 (2007): 1–27. http://dx.doi.org/10.1017/s002776300000934x.

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AbstractWe are concerned with the question how the capacity of the ideal boundary of a subsurface of a covering Riemann surface over a Riemann surface varies according to the variation of its branch points. In the present paper we treat the most primitive but fundamental situation that the covering surface is a two sheeted sphere with two branch points one of which is fixed and the other is moving and the subsurface is given as the complement of two disjoint continua each in different sheets of the covering surface whose projections are two disjoint continua in the base plane given in advance

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19

Huttenlocher, Daniel P., Klara Kedem, and Jon M. Kleinberg. "Voronoi diagrams of rigidly moving sets of points." Information Processing Letters 43, no. 4 (1992): 217–23. http://dx.doi.org/10.1016/0020-0190(92)90204-9.

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20

FU, JYH-JONG, and R. C. T. LEE. "VORONOI DIAGRAMS OF MOVING POINTS IN THE PLANE." International Journal of Computational Geometry & Applications 01, no. 01 (1991): 23–32. http://dx.doi.org/10.1142/s0218195991000037.

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In this paper, we consider the dynamic Voronoi diagram problem. In this problem, a given set of planar points are moving and our objective is to find the Voronoi diagram of these moving points at any time t. A preprocessing algorithm and a query processing algorithm are presented in this paper. Assume that the points are in k-motion, and it takes O(k) time to find roots of a polynomial with degree O(k). The preprocessing algorithm takes O(k2n3 log n · 2O(α(n)5k+1)) time to process moving functions of given points, and uses O(k2n32O(α(n)5k+1)) space to store the preprocessing result where α(n)

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21

Kalirajan, K., and M. Sudha. "Moving Object Detection for Video Surveillance." Scientific World Journal 2015 (2015): 1–10. http://dx.doi.org/10.1155/2015/907469.

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The emergence of video surveillance is the most promising solution for people living independently in their home. Recently several contributions for video surveillance have been proposed. However, a robust video surveillance algorithm is still a challenging task because of illumination changes, rapid variations in target appearance, similar nontarget objects in background, and occlusions. In this paper, a novel approach of object detection for video surveillance is presented. The proposed algorithm consists of various steps including video compression, object detection, and object localization

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22

Hatimi, H., M. Fakir, M. Chabi, and M. Najimi. "New Approach for Detecting and Tracking a Moving Object." International Journal of Electrical and Computer Engineering (IJECE) 8, no. 5 (2018): 3296. http://dx.doi.org/10.11591/ijece.v8i5.pp3296-3303.

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<span>This article presents the implementation of a tracking system for a moving target using a fixed camera. The objective of this work is the ability to detect a moving object and locate their positions. In picture processing, tracking moving objects in a known or unknown environment is commonly studied. It is based on invariance properties of objects of interest. The invariance can affect the geometry of the scene or the objects. The proposed approach is composed of several steps; the first is the extraction of points of interest in the current image. Then, these points will be tracke

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23

Fan, Jian De, and Jiang Bo Zhu. "Object Tracking Based on Dual-View Stereo System." Advanced Materials Research 850-851 (December 2013): 780–83. http://dx.doi.org/10.4028/www.scientific.net/amr.850-851.780.

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Tracking moving objects in dual-view stereo system is becoming a hot research area in computer vision. To capture the moving objects pixels more accurately, we proposed a new object tracking algorithm which first compute moving objects feature points and then match these points, finally connect the matching feature points and get objects motion trajectories. The algorithm was tested in the video sequences with resolution 640×480 and 768×576 individually. The results show that the algorithm is more robust and the trajectories of the moving objects tracked with our method are more accurate compa

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24

Wang, Yan, Yang Yu, Gang Yan, and Yingchun Guo. "Moving Objects Detection Based on the Precise Background Compensation Under Dynamic Scene." International Journal of Advanced Pervasive and Ubiquitous Computing 6, no. 1 (2014): 44–59. http://dx.doi.org/10.4018/ijapuc.2014010104.

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In order to detect the moving object under dynamic scenes accurately, this paper proposes a moving object detection method which is based on the precise background compensation. First, the SURF (Speeded-Up Robust Features) algorithm is used to extract feature points, and the BBF(Best-Bin-First) search algorithm is adopted to match feature points, in addition the reverse constraint strategy is employed to remove the mismatching points. To enhance the accuracy of the background compensation, a dynamic threshold is set to remove the target feature points influence for the global motion parameters

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25

Le Pechoux, C., O. Mercier, A. Mohkles, and B. Besse. "SP-0449 POSTOP RT/ CURRENT GUIDELINES AND MOVING POINTS." Radiotherapy and Oncology 103 (May 2012): S179. http://dx.doi.org/10.1016/s0167-8140(12)70788-0.

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26

Ricardi, U., R. Soffietti, N. Giaj Levra, et al. "SP-0572 CURRENT PRACTICE AND MOVING POINTS: PRIMARY BRAIN." Radiotherapy and Oncology 103 (May 2012): S230. http://dx.doi.org/10.1016/s0167-8140(12)70911-8.

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27

Wang, Guo-Zhao, and Jian-Min Zheng. "Bounds on the Moving Control Points of Hybrid Curves." Graphical Models and Image Processing 59, no. 1 (1997): 19–25. http://dx.doi.org/10.1006/gmip.1996.0411.

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28

Taricco, Giorgio. "The Distance Between Two Points Moving On A Graph." International Journal of Modelling and Simulation 15, no. 3 (1995): 120–24. http://dx.doi.org/10.1080/02286203.1995.11760262.

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29

Jyh-Jong Fu and R. C. T. Lee. "Minimum spanning trees of moving points in the plane." IEEE Transactions on Computers 40, no. 1 (1991): 113–18. http://dx.doi.org/10.1109/12.67328.

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30

Menezes, Mozart B. C., Michael Ketzenberg, Rogelio Oliva, and Rich Metters. "Service delivery to moving demand points using mobile servers." International Journal of Production Economics 168 (October 2015): 158–66. http://dx.doi.org/10.1016/j.ijpe.2015.06.024.

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31

Dwyer, R. A. "Voronoi Diagrams and Convex Hulls of Random Moving Points." Discrete & Computational Geometry 23, no. 3 (2000): 343–65. http://dx.doi.org/10.1007/pl00009505.

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32

Jung, Sukwoo, Youngmok Cho, Doojun Kim, and Minho Chang. "Moving Object Detection from Moving Camera Image Sequences Using an Inertial Measurement Unit Sensor." Applied Sciences 10, no. 1 (2019): 268. http://dx.doi.org/10.3390/app10010268.

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This paper describes a new method for the detection of moving objects from moving camera image sequences using an inertial measurement unit (IMU) sensor. Motion detection systems with vision sensors have become a global research subject recently. However, detecting moving objects from a moving camera is a difficult task because of egomotion. In the proposed method, the interesting points are extracted by a Harris detector, and the background and foreground are classified by epipolar geometry. In this procedure, an IMU sensor is used to calculate the initial fundamental matrix. After the featur

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33

Ding, Jing, Zhigang Yan, and Xuchen We. "High-Accuracy Recognition and Localization of Moving Targets in an Indoor Environment Using Binocular Stereo Vision." ISPRS International Journal of Geo-Information 10, no. 4 (2021): 234. http://dx.doi.org/10.3390/ijgi10040234.

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To obtain effective indoor moving target localization, a reliable and stable moving target localization method based on binocular stereo vision is proposed in this paper. A moving target recognition extraction algorithm, which integrates displacement pyramid Horn–Schunck (HS) optical flow, Delaunay triangulation and Otsu threshold segmentation, is presented to separate a moving target from a complex background, called the Otsu Delaunay HS (O-DHS) method. Additionally, a stereo matching algorithm based on deep matching and stereo vision is presented to obtain dense stereo matching points pairs,

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34

Orlov, Victor, and Yulia Zheglova. "Mathematical modeling of building structures and nonlinear differential equations." International Journal of Modeling, Simulation, and Scientific Computing 11, no. 03 (2020): 2050026. http://dx.doi.org/10.1142/s1793962320500269.

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Nonlinear differential equations with moving singular points require emergence and development of new approximate methods of solution. In this paper, we give a solution to one of the problems of the analytical approximate method for solving nonlinear differential equations with moving singular points, and study the influence of the perturbation of the initial conditions on the analytical approximate solution in the analytic domain. Theoretical material was tested using a numerical experiment confirming its reliability. The theoretical material presented in this paper allows researchers to use

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35

Akamatsu, Toshihiro, Fangyan Dong, and Kaoru Hirota. "Still Corresponding Points Extraction Using a Moving Monocular Camera with a Motion Sensor." Journal of Advanced Computational Intelligence and Intelligent Informatics 19, no. 2 (2015): 319–29. http://dx.doi.org/10.20965/jaciii.2015.p0319.

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The method of extracting still corresponding points proposed in this paper uses a moving monocular camera connected to a 6-axis motion sensor. It classifies corresponding points between two consecutive frames containing still/moving objects and chooses corresponding points appropriate for 3D measurement. Experiments are done extracting still corresponding points with 2 scenes from original computer graphics images. Results for scene 1 show that accuracy is 0.98, precision 0.96, and recall 1.00. Robustness against sensor noise is confirmed. Extraction experiment results with real scenes show th

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36

Chang, Wei Li, Eric Hsiaokuang Wu, Min Te Sun, and Ching Hsiang Chu. "LDFS: Localized Depth First Search for Member Loss Detection of Moving Group in Wireless Networks." Applied Mechanics and Materials 378 (August 2013): 558–64. http://dx.doi.org/10.4028/www.scientific.net/amm.378.558.

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In a distributed system, a portion of nodes are more critical than others, and named them articulation points, all paths between certain nodes have to pass through these points. Most of previous works try to detect the articulation point problem in static networks such as wireless sensor networks, P2P networks. In dynamic networks, as group moving behavior, it is a challenge to detect articulation points because these nodes are moving with time. Group moving in this paper means that a group of mobile members move from one place to another place with different directions and speeds. We aim to p

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37

Pu, Sai Hu. "Gridless Adaptive Method for Simulating Unsteady Flows with Moving Shocks." Applied Mechanics and Materials 271-272 (December 2012): 948–52. http://dx.doi.org/10.4028/www.scientific.net/amm.271-272.948.

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In this paper, the gridless adaptive method is extended to simulate unsteady flows with moving shocks. In order to capture physical features like moving shocks with local high resolution, a technique of dynamic cloud of points is achieved by adopting clouds refinement and clouds coarsening procedures during the evolution of the unsteady flows. The regions for clouds refinement and clouds coarsening are determined at every time step by an indicator, which is defined as a function of the local pressure gradient. Once the regions of cloud of points to be adjusted are located by the indicator, the

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38

KREPPEL, AMIE. "Moving Beyond Procedure." Comparative Political Studies 35, no. 7 (2002): 784–813. http://dx.doi.org/10.1177/0010414002035007002.

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This article examines the influence of the European Parliament (EP) within the legislative process of the European Union. Although debate over the impact of the cooperation and co-decision I procedures continues, this article argues that, in part, the current theoretical debate is a false one that has caused many of the other important variables that affect EP legislative influence to be ignored. This article briefly revisits the current debate, then proceeds to an analysis of the success of more than 1,000 EP amendments under the cooperation and co-decision procedures. This evidence suggests

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39

Zeng, Wen Zhou, Li Ming Wu, and Xin Luo. "A New Method Applied to the Multi-Parametric Nonlinear Compensations of Computer Numeric Control Bender." Advanced Materials Research 580 (October 2012): 355–59. http://dx.doi.org/10.4028/www.scientific.net/amr.580.355.

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Complex Moving Least Squares and its key attributes as basis functions and support region radius were discussed and studied in this paper. Owing to the weak performance of traditional Moving Least Squares when applied to asymmetrical sampling points set, an improved Moving Least Squares named dynamic radius Moving Least Squares was designed, whose support regions radius at fitting point dynamically adjust as the density of local point subset. At last, it is applied to multi-parametric nonlinear compensation of computer numeric control bender through comparative fitting experiments and simulati

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40

Gil, Jong In, Saeed Mahmoudpour, Whan-Kyu Whang, and Manbae Kim. "People Counting Method using Moving and Static Points of Interest." Journal of Broadcast Engineering 22, no. 1 (2017): 70–77. http://dx.doi.org/10.5909/jbe.2017.22.1.70.

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41

A, Nishad, Sajimon Abraham, and Praveen Kumar V.S. "Semantic based Exploration of Interesting Points of moving objects Trajectories." International Journal of Computer Sciences and Engineering 06, no. 06 (2018): 86–90. http://dx.doi.org/10.26438/ijcse/v6si6.8690.

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42

Rubin, Natan. "On Topological Changes in the Delaunay Triangulation of Moving Points." Discrete & Computational Geometry 49, no. 4 (2013): 710–46. http://dx.doi.org/10.1007/s00454-013-9512-2.

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43

Agarwal, Pankaj K., Sariel Har-Peled, and Hai Yu. "Embeddings of Surfaces, Curves, and Moving Points in Euclidean Space." SIAM Journal on Computing 42, no. 2 (2013): 442–58. http://dx.doi.org/10.1137/110830046.

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44

Leung, D. Y. "End points in clinical trials: are they moving the goalposts?" Heart 92, no. 7 (2006): 870–72. http://dx.doi.org/10.1136/hrt.2005.082024.

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45

Grigor'ev, P. V., A. M. Lomonosov, and Vladislav G. Mikhalevich. "Laser location of glitter points on a moving random surface." Quantum Electronics 28, no. 5 (1998): 439–43. http://dx.doi.org/10.1070/qe1998v028n05abeh001244.

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Hoffman, D. D., and B. M. Bennett. "Inferring the relative three-dimensional positions of two moving points." Journal of the Optical Society of America A 2, no. 2 (1985): 350. http://dx.doi.org/10.1364/josaa.2.000350.

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47

Gutman, Semion, and Junhong Ha. "Uniform attractor of shallow arch motion under moving points load." Journal of Mathematical Analysis and Applications 464, no. 1 (2018): 557–79. http://dx.doi.org/10.1016/j.jmaa.2018.04.025.

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48

Gudmundsson, Joachim, Marc van Kreveld, and Bettina Speckmann. "Efficient Detection of Patterns in 2D Trajectories of Moving Points." GeoInformatica 11, no. 2 (2007): 195–215. http://dx.doi.org/10.1007/s10707-006-0002-z.

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49

Kaplan, Haim, Natan Rubin, and Micha Sharir. "A kinetic triangulation scheme for moving points in the plane." Computational Geometry 44, no. 4 (2011): 191–205. http://dx.doi.org/10.1016/j.comgeo.2010.11.001.

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Katoh, N., T. Tokuyama, and K. Iwano. "On minimum and maximum spanning trees of linearly moving points." Discrete & Computational Geometry 13, no. 2 (1995): 161–76. http://dx.doi.org/10.1007/bf02574035.

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