Indexing the past, present, and anticipated future positions of moving objects

2006 ◽  
Vol 31 (1) ◽  
pp. 255-298 ◽  
Author(s):  
Mindaugas Pelanis ◽  
Simonas Šaltenis ◽  
Christian S. Jensen
Keyword(s):  
Moving Objects ◽  
The Past

scholarly journals The apparent velocity and acceleration of relativistically moving objects

2011 ◽  
Vol 89 (6) ◽  
pp. 657-660
Author(s):  
Austen Berlet ◽  
Dennis G.C. McKeon ◽  
Farrukh Chishtie ◽  
Martin Houde
Keyword(s):  
Special Relativity ◽  
Moving Objects ◽  
Constant Speed ◽  
The Other ◽  
Apparent Velocity ◽  
Constant Acceleration ◽  
The Past ◽  
Velocity Of Light ◽  
Curious Feature

Although special relativity limits the actual velocity of a particle to the velocity of light, c, the observed velocity need not be the same as the actual velocity, as the observer is only aware of the position of a particle at the time in the past when it emitted the detected signal. We consider the apparent speed and acceleration of a particle in two cases, one when the particle is moving with a constant speed and the other when it is moving with a constant acceleration. One curious feature of our results is that in both cases, if the actual velocity of the particle approaches c, then the apparent velocity approaches infinity when it is moving toward the observer and c/2 when it is moving away from the observer.

scholarly journals A contribution to the study of the mechanism of respiration, with especial reference to the action of the vertebral column and diaphragm

1908 ◽  
Vol 80 (538) ◽  
pp. 182-187 ◽  
Keyword(s):  
Functional Activity ◽  
Vertebral Column ◽  
Moving Objects ◽  
Transverse Plane ◽  
The Body ◽  
X Rays ◽  
Internal Organs ◽  
Especial Reference ◽  
The Past ◽  
Mathematical Accuracy

In studying the alterations which occur in the shape, size, and position of the internal organs as the result of their functional activity, previous observers have worked at a disadvantage. During the past nine years X-rays methods, though indicating an advance in our knowledge of abdominal and thoracic visceral movements, have not been of absolute utility, since the rays, being divergent, produce magnification of the shadow of the object. Hence, exact measurements have been unattainable. In the present investigation the chief results have been obtained by means of Groedel’s orthodiagraph, which Dr. Hugh Walsham and myself have been the first, to our knowledge, two work with in this country, and of which we have already published a detailed description. By means of this instrument it is possible, with almost mathematical accuracy, to measure motionless objects which lie in a plane parallel with the vertical transverse plane of the body, and to measure moving objects with greater approach to exactitude than can be obtained in any other manner.

scholarly journals Detection of Vessel on UAV based on Segmentation Using Edge Based Dilation

2018 ◽  
Vol 7 (2) ◽  
pp. 129-136
Author(s):  
Muhammad Khaerul Naim Mursalim
Keyword(s):  
Moving Objects ◽  
Moving Object ◽  
Image Descriptor ◽  
Uncertainty Factor ◽  
The Past ◽  
Complex Processes ◽  
Sobel Operator ◽  
Frame Difference ◽  
Environment Type ◽  
Edge Based

UAV usually is used in military field for reconnaissance, surveillance, and assault. To detect a moving object in real-time like vessel, there are complex processes than to detect the object that does not moving. There are some issues that faced in detection process of moving object in UAV, called constraint uncertainty factor (UCF) such as environment, type of object, illumination, camera of UAV, and motion. One of the practical problems that become concern of researchers in the past few years is motion analysis. Motion of an object in each frame carries a lot of information about the pixels of moving objects which has an important role as the image descriptor. In this paper, we use SUED (Segmentation using edge-based dilation) algorithm to detect vessel. The concept of the SUED algorithm is combining the frame difference and segmentation process to obtain optimal results. This research showed that the SUED method having problem to detect the vessel even though we combine it with sobel operator. using the combination of wavelet and Sobel operator on the detection of edges obtained increasing in the number of DR about 3%, but then FAR also increased from 41.23% to 52.09%.

scholarly journals Detection of Moving Objects in Image Sequences using 3D Velocity Filters

2008 ◽  
Vol 18 (1) ◽  
pp. 21-31 ◽  
Author(s):  
Sam Schauland ◽  
Joerg Velten ◽  
Anton Kummert
Keyword(s):  
Integrated Circuits ◽  
Moving Objects ◽  
Movement Analysis ◽  
Image Sequences ◽  
Scene Analysis ◽  
Computational Power ◽  
The Past ◽  
Wave Digital Filter ◽  
Hardware Architectures ◽  
Multidimensional Filters

Detection of Moving Objects in Image Sequences using 3D Velocity FiltersA movement analysis of objects contained in visual scenes can be performed by means of linear multidimensional filters, which have already been analyzed in the past. While the soundness of the results was convincing, interest in those systems declined due to the limited computational power of contemporary computers. Recent advances in design and implementation of integrated circuits and hardware architectures allow realizing velocity filters if then-D system is carefully adapted to the analyzed problem. In this paper, the fundamental principles of visual scene analysis by linear multidimensional filters are examined with respect to possible sources of degradation. The extraction of movement information and its practical use are demonstrated using a wave digital filter (WDF) implementation.

Research on Modeling and Indexing of Trajectories of Moving Objects in Road Networks

2013 ◽  
Vol 756-759 ◽  
pp. 1234-1239
Author(s):  
Yan Ling Zheng
Keyword(s):  
Road Network ◽  
Moving Objects ◽  
Road Networks ◽  
Experimental Results ◽  
Index Structure ◽  
Index Structures ◽  
The Road ◽  
The Past ◽  
Spatio Temporal ◽  
Temporal Trajectory

Proposed a new index structure, named MG2R*, can efficiently store and retrieve the past, present and future positions of network-constrained moving objects. It is a two-tier structure. The upper is a MultiGrid-R*-Tree (MGRT for short) that is used to index the road network. The lower is a group of independent R*-Tree. Each R*-Tree is relative to a route in the road network, can index the spatiotemporal trajectory of the moving objects in the road. Moreover, moving objects query is implemented based on this index structure. It compared to other index structures for road-network-based moving objects, such as MON-Tree, the experimental results shown that the MG2R* can effectively improve the query performance of the spatio-temporal trajectory of network-constrained moving objects.

scholarly journals A Predictive Network Architecture for a Robust and Smooth Robot Docking Behavior

2012 ◽  
Vol 3 (4) ◽  
Author(s):  
Junpei Zhong ◽  
Cornelius Weber ◽  
Stefan Wermter
Keyword(s):  
Network Architecture ◽  
Sensory Input ◽  
Moving Objects ◽  
Biologically Inspired ◽  
Continuous Action ◽  
Sensorimotor Processing ◽  
Learning Automaton ◽  
The Past ◽  
Continuous Approach ◽  
Sensory Prediction

AbstractRobots and living beings exhibit latencies in their sensorimotor processing due to mechanical and electronic or neural processing delays. A reaction typically occurs to input stimuli of the past. This is critical not only when the environment changes (e.g. moving objects) but also when the agent itself moves. An agent that does not predict while moving may need to remain static between sensory input acquisition and output response to guarantee that the response is appropriate to the percept. We propose a biologically-inspired learning model of predictive sensorimotor integration to compensate for this latency. In this model, an Elman network is developed for sensory prediction and sensory filtering; a Continuous Actor-Critic Learning Automaton (CACLA) is trained for continuous action generation. For a robot docking experiment, this architecture improves the smoothness of the robot’s sensory input and therefore results in a faster and more accurate continuous approach behavior.

scholarly journals Indexing the past and current position of moving objects in large-scale dataset

2017 ◽  
Vol 5 (2) ◽  
pp. 141-162
Author(s):  
Mohamad Reza Abbasifard ◽  
hassan naderi ◽  
◽  
Keyword(s):  
Large Scale ◽  
Moving Objects ◽  
Current Position ◽  
The Past ◽  
Large Scale Dataset

scholarly journals Pipelined Soft Packaging Cargoes Handling Robot

2018 ◽  
Vol 175 ◽  
pp. 02028
Author(s):  
Li guangyao ◽  
Fu Xinzhong ◽  
Du Yunjia ◽  
Xu Shuqiong
Keyword(s):  
Control System ◽  
Moving Objects ◽  
Step Motor ◽  
Transport Mode ◽  
Material Resources ◽  
Fast Speed ◽  
The Past ◽  
Plc Control ◽  
Heavy Workload ◽  
Packing Efficiency

In order to solve the problem of packing and packing on the soft package in the pipeline, we use PLC system to control the robot. The step motor and the push rod motor cooperate with each other to realize the space movement. The vacuum sucker can firmly absorb the target and realize the transportation and packing of the target. To solve the problem of heavy workload of the soft packing line, wasting the manpower and material resources, we change the past hard grab transport mode and use the vacuum sucker to absorb the soft package to improve the packing efficiency. As for transporting soft package goods, the vacuum sucker has characteristics of small wear, fast speed, light and convenience. PLC control system greatly improves the accuracy of its moving objects, the robot is more efficient and practical.

Indexing Mobile Objects

2011 ◽  
pp. 594-599
Author(s):  
Panayiotis Bozanis
Keyword(s):  
Communication Systems ◽  
Moving Objects ◽  
Database Systems ◽  
Short Review ◽  
Function Parameter ◽  
Application Development ◽  
Mobile Objects ◽  
Military Equipment ◽  
The Past ◽  
Mode Of Operation

The past few years have shown a significant increase in the volume and diversity of data stored in database management systems. Among these are spatiotemporal data, one of the faster developing categories of data. This phenomenon can be attributed to the flurry of application development concerning continuously evolving spatial objects in several areas: mobile communication systems, military equipment in battlefields, air traffic, truck fleets, and others. In standard database applications, data remain unchanged unless an update is explicitly stated. Applying this mode of operation to constantly moving objects would require frequent updates to be performed; otherwise, the database would be inaccurate and unreliable. In order to capture continuous movement and to avoid unnecessary updates, object positions are stored as time-dependent functions, requiring updates only when a function parameter changes. The moving objects are considered responsible for updating the database about alterations in their movement. In the following article is a short review on basic indexing schemes for accommodating moving objects in database systems so that complex queries about their location in the past, present, and future can be served.

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