Single pan and tilt camera indoor positioning and tracking system

2009 ◽  
Author(s):  
T. Gaspar ◽  
P. Oliveira
Keyword(s):  
Tracking System ◽  
Indoor Positioning

scholarly journals Indoor Location Tracking System Based on Android Application Using Bluetooth Low Energy Beacons for Ubiquitous Computing Environment

2020 ◽  
pp. 572-576
Author(s):  
Khamla NonAlinsavath ◽  
◽  
Lukito Edi Nugroho ◽  
Widyawan Widyawan ◽  
Kazuhiko Hamamoto
Keyword(s):  
Radio Frequency Identification ◽  
Tracking System ◽  
Signal Strength ◽  
Smartphone Application ◽  
Indoor Positioning ◽  
Low Energy ◽  
Positioning System ◽  
Location Awareness ◽  
Android Application ◽  
Bluetooth Low Energy

Indoor positioning and tracking systems have become enormous issue in location awareness computing due to its improvement of location detection and positioning identification. The locations are normally detected using position technologies such as Global Positioning System, radio frequency identification, Bluetooth Beacon, Wi-Fi fingerprinting, pedometer and so on. This research presents an indoor positioning system based on Bluetooth low energy 4.0 Beacons; we have implemented Bluetooth signal strength for tracking the specific location and detect the movement of user through Android application platform. Bluetooth low energy was addressed to be an experiment technique to set up into the real environment of interior the building. The signal strength of beacons is evaluated and measured the quality of accuracy as well as the improvement of provide raw data from Beacons to the system to get better performance of the direction map and precise distance from current location to desire’s positioning. A smartphone application detects the location-based Bluetooth signal strength accurately and can be achieved the destination by provided direction map and distance perfectly.

scholarly journals Wits: An Efficient Wi-Fi Based Indoor Positioning and Tracking System

2021 ◽  
Vol 14 (1) ◽  
pp. 19
Author(s):  
Li-Ping Tian ◽  
Liang-Qin Chen ◽  
Zhi-Meng Xu ◽  
Zhizhang (David) Chen
Keyword(s):  
Tracking System ◽  
Indoor Positioning ◽  
Doppler Velocity ◽  
Channel State ◽  
Time Intervals ◽  
Practical Applications ◽  
Mean Error ◽  
Starting Point ◽  
Motion Speed ◽  
The Mean

With the development of wireless communication technology, indoor tracking technology has been rapidly developed. Wits presents a new indoor positioning and tracking algorithm with channel state information of Wi-Fi signals. Wits tracks using motion speed. Firstly, it eliminates static path interference and calibrates the phase information. Then, the maximum likelihood of the phase is used to estimate the radial Doppler velocity of the target. Experiments were conducted, and two sets of receiving antennas were used to determine the velocity of a human. Finally, speed and time intervals were used to track the target. Experimental results show that Wits can achieve the mean error of 0.235 m in two different environments with a known starting point. If the starting point is unknown, the mean error is 0.410 m. Wits has good accuracy and efficiency for practical applications.

Single Pan and Tilt Camera Indoor Positioning and Tracking System

2011 ◽  
Vol 17 (4) ◽  
pp. 414-428 ◽  
Author(s):  
Tiago Gaspar ◽  
Paulo Oliveira
Keyword(s):  
Tracking System ◽  
Indoor Positioning

scholarly journals Indoor positioning: technology comparison analysis

2018 ◽  
Vol 7 (2.14) ◽  
pp. 133 ◽  
Author(s):  
Marina Md Din ◽  
Norziana Jamil ◽  
Jacentha Maniam ◽  
Mohamad Afendee Mohamed
Keyword(s):  
Global Positioning System ◽  
Tracking System ◽  
Indoor Positioning ◽  
Position Tracking ◽  
Positioning System ◽  
Comparison Analysis ◽  
Global Positioning ◽  
Specific Position ◽  
Indoor Positioning System ◽  
Technology Comparison

A system that allows users to find and track a specific position is known as positioning system. Global Positioning System (GPS) is one of top known position tracking system that commonly used to find position and location of object outdoor. Tracking an object indoor using GPS is not highly recommended because the signals transmitted through a satellite to a device indoor gets blocked and resulted in weak signals. Thus, an indoor positioning system (IPS) that tracks and positions object indoor has been implemented to overcome the issues of signals multipath that resulted from GPS. The aim of this paper is to provide up to date indoor positioning technologies and compares the technologies according to its technical perspectives.  

scholarly journals Improved Position Accuracy of Foot-Mounted Inertial Sensor by Discrete Corrections from Vision-Based Fiducial Marker Tracking

Sensors ◽  
2020 ◽  
Vol 20 (18) ◽  
pp. 5031
Author(s):  
Humayun Khan ◽  
Adrian Clark ◽  
Graeme Woodward ◽  
Robert W. Lindeman
Keyword(s):  
Inertial Sensor ◽  
Vision System ◽  
Tracking System ◽  
Indoor Positioning ◽  
Fiducial Marker ◽  
Measurement Unit ◽  
Positioning System ◽  
Positioning Systems ◽  
Marker Tracking ◽  
Training Exercises

In this paper, we present a novel pedestrian indoor positioning system that uses sensor fusion between a foot-mounted inertial measurement unit (IMU) and a vision-based fiducial marker tracking system. The goal is to provide an after-action review for first responders during training exercises. The main contribution of this work comes from the observation that different walking types (e.g., forward walking, sideways walking, backward walking) lead to different levels of position and heading error. Our approach takes this into account when accumulating the error, thereby leading to more-accurate estimations. Through experimentation, we show the variation in error accumulation and the improvement in accuracy alter when and how often to activate the camera tracking system, leading to better balance between accuracy and power consumption overall. The IMU and vision-based systems are loosely coupled using an extended Kalman filter (EKF) to ensure accurate and unobstructed positioning computation. The motion model of the EKF is derived from the foot-mounted IMU data and the measurement model from the vision system. Existing indoor positioning systems for training exercises require extensive active infrastructure installation, which is not viable for exercises taking place in a remote area. With the use of passive infrastructure (i.e., fiducial markers), the positioning system can accurately track user position over a longer duration of time and can be easily integrated into the environment. We evaluated our system on an indoor trajectory of 250 m. Results show that even with discrete corrections, near a meter level of accuracy can be achieved. Our proposed system attains the positioning accuracy of 0.55 m for a forward walk, 1.05 m for a backward walk, and 1.68 m for a sideways walk with a 90% confidence level.

scholarly journals Hybrid WSN and RFID indoor positioning and tracking system

2013 ◽  
Vol 2013 (1) ◽  
Author(s):  
Zhoubing Xiong ◽  
Zhenyu Song ◽  
Andrea Scalera ◽  
Enrico Ferrera ◽  
Francesco Sottile ◽  
...  
Keyword(s):  
Tracking System ◽  
Indoor Positioning

An eye tracking system for analysis of pilots' scan paths.

1997 ◽  
Author(s):  
Paul A. Wetzel ◽  
Gretchen Krueger-Anderson ◽  
Christine Poprik ◽  
Peter Bascom
Keyword(s):  
Eye Tracking ◽  
Tracking System ◽  
Scan Paths
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