Real Time Eye Localization and Tracking

2018 ◽  
pp. 560-571
Author(s):  
Nikolaos Poulopoulos ◽  
Emmanouil Z. Psarakis
Keyword(s):  
Real Time ◽  
Eye Localization ◽  
Localization And Tracking

An Efficient Smartphone Assisted Indoor Localization with Tracking Approach using Glowworm Swarm Optimization Algorithm

2021 ◽  
pp. 101-107
Author(s):  
Mohammad Alshehri ◽  
Keyword(s):  
Real Time ◽  
Indoor Localization ◽  
Initial Position ◽  
Swarm Optimization ◽  
The Real ◽  
Assisted Navigation ◽  
Glowworm Swarm Optimization ◽  
Tracking Process ◽  
Wide Range ◽  
Localization And Tracking

Presently, a precise localization and tracking process becomes significant to enable smartphone-assisted navigation to maximize accuracy in the real-time environment. Fingerprint-based localization is the commonly available model for accomplishing effective outcomes. With this motivation, this study focuses on designing efficient smartphone-assisted indoor localization and tracking models using the glowworm swarm optimization (ILT-GSO) algorithm. The ILT-GSO algorithm involves creating a GSO algorithm based on the light-emissive characteristics of glowworms to determine the location. In addition, the Kalman filter is applied to mitigate the estimation process and update the initial position of the glowworms. A wide range of experiments was carried out, and the results are investigated in terms of distinct evaluation metrics. The simulation outcome demonstrated considerable enhancement in the real-time environment and reduced the computational complexity. The ILT-GSO algorithm has resulted in an increased localization performance with minimal error over the recent techniques.

Robotic System Used for Navigation and Tracking, in Real Time, with the Obstacle Avoidance

2014 ◽  
Vol 1077 ◽  
pp. 221-226
Author(s):  
Dan Popescu ◽  
Loretta Ichim ◽  
Radu Fratila ◽  
Diana Gornea
Keyword(s):  
Real Time ◽  
Obstacle Avoidance ◽  
Robotic System ◽  
Indoor Navigation ◽  
Object Localization ◽  
Mobile Platform ◽  
Mobile Object ◽  
Central Unit ◽  
The Road ◽  
Localization And Tracking

Tracking the road or a mobile object and also obstacle avoidance are very important components that must be considered in the process of developing a robotic system. In this paper we propose a mobile platform for indoor navigation, based on a cheap computing hardware, which is able to be configured in two scenarios: the first refers to the movement of the robot on a predetermined path and to avoidance the obstacles, while maintaining the final target, and the second refers to the possibility of identifying and tracking a target. The robotic system aggregates the information acquired from different sensors and combines the computing resources from the mobile platform with those from the central unit. MATLAB is used for all the implementations and tests, to develop algorithms and to create models and applications. The robot's communication with central unit is wireless. Experimental results show that the mobile platform is able to perform, in real time, the following tasks in indoor environment: the recognition of the object, localization and tracking and also the obstacles avoidance.

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