Data used for detection and tracking of dynamic objects for visually impaired people

Natal Henrique Cordeiro,Emerson Carlos Pedrino

doi:10.1016/j.dib.2019.104403

Natal Henrique Cordeiro, Emerson Carlos Pedrino

Open Access

https://doi.org/10.1016/j.dib.2019.104403

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Abstract

This paper presents in detail the methodology for the detection and tracking of dynamic objects from the article in press (A new methodology applied to dynamic object detection and tracking systems for visually impaired people [1]). In order to validate this methodology, four different architectures have been designed in this paper. These architectures have implemented the techniques of pattern recognition, optical flow, background subtraction and color tracking to enable comparison and to see which is the most appropriate in a given environment. In this paper we also present a method created to quantify the effectiveness of each architecture implemented.

Highlights

Data format eps, pdf, avi, xls Experimental factors Data from the infrared and RGB sensor were converted into appropriate matrices with RGB channels
Images produced for Detection and Tracking of Dynamic Objects and figures that detail the applied features methodology in order to calculate effectiveness
The data allows the chance of measuring the and effectiveness of each technique used for detection and tracking of dynamic objects

Summary

Introduction

Data format eps, pdf, avi, xls Experimental factors Data from the infrared and RGB sensor were converted into appropriate matrices with RGB channels. Images produced for Detection and Tracking of Dynamic Objects and figures that detail the applied features methodology in order to calculate effectiveness. The data allows (researcher) the chance of measuring the and effectiveness of each technique used for detection and tracking of dynamic objects.

Results

Conclusion