Tracking objects across uncalibrated, arbitrary topology camera networks

2011 ◽  
pp. 157-184
Author(s):  
R. Bowden ◽  
A. Gilbert ◽  
P. KaewTraKulPong
Keyword(s):  
Camera Networks ◽  
Arbitrary Topology ◽  
Tracking Objects

GPS and GSM Based Tracking System for Objects Moving over Wide Geographical Areas

2018 ◽  
Vol 2 (1) ◽  
Author(s):  
Fatima Ameen ◽  
Ziad Mohammed ◽  
Abdulrahman Siddiq
Keyword(s):  
Global Positioning System ◽  
Mobile Communications ◽  
Moving Objects ◽  
Tracking System ◽  
Geographical Area ◽  
Tracking Systems ◽  
Acceptable Result ◽  
Internet Service ◽  
Global Positioning ◽  
Tracking Objects

Tracking systems of moving objects provide a useful means to better control, manage and secure them. Tracking systems are used in different scales of applications such as indoors, outdoors and even used to track vehicles, ships and air planes moving over the globe. This paper presents the design and implementation of a system for tracking objects moving over a wide geographical area. The system depends on the Global Positioning System (GPS) and Global System for Mobile Communications (GSM) technologies without requiring the Internet service. The implemented system uses the freely available GPS service to determine the position of the moving objects. The tests of the implemented system in different regions and conditions show that the maximum uncertainty in the obtained positions is a circle with radius of about 16 m, which is an acceptable result for tracking the movement of objects in wide and open environments.

Deep Compressive Offloading

2021 ◽  
Vol 25 (1) ◽  
pp. 39-42
Author(s):  
Shuochao Yao ◽  
Jinyang Li ◽  
Dongxin Liu ◽  
Tianshi Wang ◽  
Shengzhong Liu ◽  
...  
Keyword(s):  
Embedded Systems ◽  
Mobile Devices ◽  
Physical Environment ◽  
Sensor Data ◽  
Important Research ◽  
Resource Limitations ◽  
Visual Inputs ◽  
Research Questions ◽  
User Friendly ◽  
Tracking Objects

Future mobile and embedded systems will be smarter and more user-friendly. They will perceive the physical environment, understand human context, and interact with end-users in a human-like fashion. Daily objects will be capable of leveraging sensor data to perform complex estimation and recognition tasks, such as recognizing visual inputs, understanding voice commands, tracking objects, and interpreting human actions. This raises important research questions on how to endow low-end embedded and mobile devices with the appearance of intelligence despite their resource limitations.

scholarly journals Meteorite Orbits from Observations by Camera Networks

1983 ◽  
Vol 6 ◽  
pp. 399-404 ◽  
Author(s):  
Ian Halliday ◽  
Arthur A. Griffin ◽  
Alan T. Blackwell
Keyword(s):  
Current Knowledge ◽  
Great Difficulty ◽  
Camera Networks ◽  
Significant Group ◽  
Lost City ◽  
Knowledge Based ◽  
Alternative Approach ◽  
Physically Identical ◽  
Review Current ◽  
Visual Observations

Camera networks for the study of bright fireballs now have a history approaching two decades• It was hoped that the networks would produce a statistically significant group of recovered meteorites with accurate orbits. Due to the great difficulty in locating the meteorites from a photographed event, there are still only three meteorites with orbits determined from suitable photographs; Pribram, Lost City and Innisfree (Ceplecha I96I, McCrosky et al. 1971, Halliday et al. 1978, respectively). Networks do, however, provide an alternative approach to the problem. Instead of determining approximate orbits from visual observations of recovered meteorite falls, it is now preferable to use reliable orbits from the camera networks for fireballs which are believed to have dropped meteorites that could not be located, or, that are believed to have been physically identical to meteorites, although no appreciable mass survived the atmospheric flight. This paper will review current knowledge based on this approach to the problem.

Energy-Efficient Image Compressive Transmission for Wireless Camera Networks

2016 ◽  
Vol 16 (10) ◽  
pp. 3875-3886 ◽  
Author(s):  
Yong Wang ◽  
Dianhong Wang ◽  
Xufan Zhang ◽  
Jun Chen ◽  
Yamin Li
Keyword(s):  
Energy Efficient ◽  
Camera Networks ◽  
Wireless Camera Networks
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