Real-time tracking system combining mixture of Gaussian model and CamShift algorithm

2010 ◽  
Author(s):  
Yuanshuang Li ◽  
Qinlan Xie ◽  
Gai Yu
Keyword(s):  
Real Time ◽  
Tracking System ◽  
Gaussian Model ◽  
Camshift Algorithm ◽  
Real Time Tracking ◽  
Mixture Of Gaussian ◽  
Mixture Of Gaussian Model

Design Algorithm of Moving Target Adaptive Tracking System

2015 ◽  
Vol 738-739 ◽  
pp. 373-376
Author(s):  
Ju Bao Qu
Keyword(s):  
Real Time ◽  
Adaptive Algorithm ◽  
Tracking System ◽  
Moving Target ◽  
Design Algorithm ◽  
State Information ◽  
Camshift Algorithm ◽  
Real Time Tracking ◽  
High Degree ◽  
Multi Mode

According to the characteristics of the moving target state information, we propose a multi-mode adaptive CamShift algorithm (MACA), and using the adaptive algorithm designed a real-time tracking system. The large number of experiments show that the algorithm robustness, real-time, high degree of system automation.

scholarly journals Experimental Validation of Real-Time Ski Jumping Tracking System Based on Wearable Sensors

Sensors ◽  
2021 ◽  
Vol 21 (23) ◽  
pp. 7780
Author(s):  
Johannes Link ◽  
Sébastien Guillaume ◽  
Bjoern M. Eskofier
Keyword(s):  
Real Time ◽  
Tracking System ◽  
Wearable Sensors ◽  
Absolute Error ◽  
Opening Angle ◽  
National Team ◽  
Ski Jumping ◽  
Accuracy And Precision ◽  
Real Time Tracking ◽  
Flight Parameters

For sports scientists and coaches, its crucial to have reliable tracking systems to improve athletes. Therefore, this study aimed to examine the validity of a wearable real-time tracking system (WRRTS) for the quantification of ski jumping. The tracking system consists of wearable trackers attached to the ski bindings of the athletes and fixed antennas next to the jumping hill. To determine the accuracy and precision of the WRRTS, four athletes of the German A or B National Team performed 35 measured ski jumps. The WRRTS was used to measure the 3D positions and ski angles during the jump. The measurements are compared with camera measurements for the in-flight parameters and the official video distance for the jumping distance to assess their accuracy. We statistically evaluated the different methods using Bland–Altman plots. We thereby find a mean absolute error of 0.46 m for the jumping distance, 0.12 m for the in-flight positions, and 0.8°, and 3.4° for the camera projected pitch and V-style opening angle, respectively. We show the validity of the presented WRRTS to measure the investigated parameters. Thus, the system can be used as a tracking system during training and competitions for coaches and sports scientists. The real-time feature of the tracking system enables usage during live TV broadcasting.

scholarly journals The IMPLEMENTATION OF TRACKING SYSTEM IN THE REAL TIME OF ANDROID FOR SENDING PERSONEL COORDINATION BASED ON MQTT.

2020 ◽  
Vol 2 (Oktober) ◽  
pp. 29-36
Author(s):  
Agus Faesol ◽  
Imam Ashar ◽  
Gatut Yulisusianto
Keyword(s):  
Real Time ◽  
Process Improvement ◽  
Communication Technology ◽  
Research Method ◽  
Tracking System ◽  
The World ◽  
Real Time Tracking ◽  
Access Rights ◽  
Point Data ◽  
The Military

Abstract: In the world of technology that is increasing, then as humans we will not be separated from the process improvement that occurs. From year to year, it is certain that this increase will certainly. Increasingly rapidly occurring in communication technology. Communication technology has also penetrated the military world, especially in MQTT-based communications. In this research, MQTT-based technology is applied to implement real time tracking system on android. This system is used to send the longitude and latitude coordinates of the personnel so that these points can be known directly via android. From this pure experimental research method, the coordinate point data will continue to be monitored and the existence can be known continuously. This system is designed on a VPS server or Virtual Private Server, so that all devices even though none of the networks can communicate with  each  other  as  long  as  they  have  access  rights  for application user.

Controlling a motorized electric wheelchair based on face tilting

2019 ◽  
Vol 15 (4) ◽  
Author(s):  
Hassan M. Qassim ◽  
Abdulrahman K. Eesee ◽  
Omar T. Osman ◽  
Mohammed S. Jarjees
Keyword(s):  
Quality Of Life ◽  
Real Time ◽  
Tracking System ◽  
Lower Limbs ◽  
Direct Impact ◽  
Excellent Performance ◽  
Electric Wheelchair ◽  
Real Time Tracking

AbstractDisability, specifically impaired upper and/or lower limbs, has a direct impact on the patients’ quality of life. Nowadays, motorized wheelchairs supported by a mobility-aided technique have been devised to improve the quality of life of these patients by increasing their independence. This study aims to present a platform to control a motorized wheelchair based on face tilting. A real-time tracking system of face tilting using a webcam and a microcontroller circuit has been designed and implemented. The designed system is dedicated to control the movement directions of the motorized wheelchair. Four commands were adequate to perform the required movements for the motorized wheelchair (forward, right, and left, as well as stopping status). The platform showed an excellent performance regarding controlling the motorized wheelchair using face tilting, and the position of the eyes was shown as the most useful face feature to track face tilting.

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