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E-Eye : A Multi Media Based Unauthorized Object Identification and Tracking System

Tolgahan Cakaloglu and Coskun BayrakComputer Science Department, University of Arkansas at Little Rock, 2801 S University Avenue Little Rock, AR 72204

Introduction

We developed a system called E-Eye: A Multi-Media based Unauthorized Object Identification and Tracking system that is able to identify the activities of objects through the use of readers, tags, multimedia composed of video cameras, global positioning systems, and a central interpreter system.

The goal of this study is to identify the unauthorized or suspicious object when necessary by focusing on it through the use of the camera surveillance and/or RFID technology in terms of tracking and GPS in terms of positional coordinates. Last but not least, all of these processes are managed by a central interpreter system according to the collected information in real-time.

Architecture Overview

System Guide

Data Management

MySQL is the database used for storage purposes.

The database diagram of the system is presented in Figure 3.

Screen Shots of the

Conclusion

The E-Eye system is composed of five modules. Figure 1 shows the modules of the system.

Figure 1

Computer Science Department, University of Arkansas at Little Rock, 2801 S University Avenue Little Rock, AR 72204 E-Mail: txcakaloglu | cxbayrak@ualr.edu

General interactions of the modules are shown in Figure 2. It aims to identify, follow, match the objects and get its location in real-time.

Figure 2

The web page of E-Eye System for officials, batch side and mobile Android application for GPS and RFID integration are coded by using Java technologies. The web page and batch side are deployed to the Apache Tomcat server.

Components of E-Eye as a system

E-Eye-batch-interpreter : It is a central interpreting system which runs all basic automated functions in a batch mode. Detecting a motion in a camera view, storing a captured image in detected motion, finding searched objects in all captured images in detected motion, and processing RFID tags are some of functions included in the system.

E-Eye-client : It is a graphical user interface tool for the users to observe the streaming of the each camera and provides several functionalities to capture the object for storing and tracking.

E-Eye-core : It contains the basic functions, entities, and enums to be used by other components. It is a library.

E-Eye-web : It is a web application to displays a page of results for captured images to show found images and its cameras’ information matching with the captured images to the user.

E-Eye-webService : It is a web service application. It contains all business functions to prevent same or similar type of duplication and distributions to all business functions of the other components.

E-Eye-mobile : It is an Android-based mobile application. It behaves like a GPS module in the object. There are several input controls in a page of mobile application. The most important role of the mobile application is to constantly send GPS locations of the object in a specific timeframe

Figure 3

Graphical user interface of the E-Eye-client with changed camera from Camera_Main to Camera_B is shown in Figure 4.

Figure 4

Screen of the capture object in Video Stream manually is presented in Figure 5.

Captured object by drawing frame in Live Video frame is shown in Figure 6.

Figure 5 Figure 6

“Book object is not found in Matches frame yet” is displayed in Figure 7.

“Book object is found with the same direction as original object in Matches frame” is presented in Figure 8.

Figure 7 Figure 8

“Book object is found with the cross direction as original object in Matches frame” is displayed in Figure 9.

“Book object is found with the different direction as original object in Matches frame” is shown in Figure 10.

Figure 9 Figure 10

Screen Shots of the

“Save captured image in order to search it last 15 minutes from all cameras connected to the system.” is shown in Figure 11.

Web services of E-Eye-webService is presented in Figure 12.

Figure 11

Figure 12

Web methods of GenericWS web service is displayed in Figure 13.

Web application of E-Eye called E-Eye-web in Figure 14.

Figure 13 Figure 14

Logo of the E-Eye-mobile application in Android is shown in Figure 15.

Main page of E-Eye-mobile application in android is presented in Figure 16.

Figure 15 Figure 16

It achieves identifying, focusing, tracking, and positioning the object into hybrid system is to enhance the quality of life within the scope of engineering spectrum, i.e., time, reliability and cost

References

T. Yamashita, H. Fujiyoshi, “Robust Object Tracking Using a Context Base On The Relation of Object and Background” in ICASSP, 2013 M. Zewairi, J. Alqatawna and J. Atoum, ‘Risk Adaptive Hybrid RFID Access Control System”, 2014

OpenIMAJ Intelligent Multimedia Analysis in Java, http://www.openimaj.org/