An Example of Solution for Data Preparation Required for Some Purposes of People Identification or Re-Identification

Author:

Ramakić Adnan1,Bundalo Zlatko2ORCID,Bundalo Dušanka3

Affiliation:

1. Rectorate, University of Bihać, Pape Ivana Pavla II 2/2, Bihać, Bosnia and Herzegovina

2. Faculty of Electrical Engineering, University of Banja Luka, Patre 5,Banja Luka, Bosnia and Herzegovina

3. Faculty of Philosophy, University of Banja Luka, Petra Bojovića 1A, Banja Luka, Bosnia and Herzegovina

Abstract

In this paper, we present an example of solution for obtaining some key elements required for people identification or re-identification. During an identification or re-identification process, different elements are in use. Depending on the method to be implemented, said elements can be RGB (red, green, blue) images, grayscale images, different types of features extracted from them, etc. In this work, we focused on obtaining certain elements suitable for use in the gait recognition methods or re-identification methods that use the obtained features from the images with people in gait. The presented solution can be useful in many applications of identification or re-identification, since key elements required by the implemented methods can be obtained in a simple way. Also, different methods for identification or re-identification can be added in the presented solution. Based on this, we have developed a simple system for people re-identification. An experiment was conducted on our own dataset containing 13 people in gait. The results obtained were over 90% for 4 out of 5 types of features used in the presented re-identification system. It is important to emphasize that more reliable results can be obtained by combining different types of features.

Publisher

World Scientific Pub Co Pte Ltd

Subject

Electrical and Electronic Engineering,Hardware and Architecture,Media Technology

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. An Example of Intelligent Security System Based on Deep Learning;Journal of Circuits, Systems and Computers;2024-02-09

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