Beta
23252

Feature Extraction Algorithm for Real Time Object Tracking

Article

Last updated: 24 Dec 2024

Subjects

-

Tags

-

Abstract

Video tracking system raises a wide possibility in today's society. These systems are be used in various applications such as military, security, monitoring, robotic, and nowadays in day-to-day applications. However the video tracking systems still have many open problems and various research activities in the video tracking system are explored. This
paper presents a real time algorithm for video tracking of any moving target with the use of line profile moments within a window filter. The proposed system is suitable for indoor and outdoor applications. Our approach has the advantage of extending the applicability of tracking system and also, as presented here improves the performance of the tracker making feasible high frame rate video tracking. The goal of the tracking system is to analyze the video frames and estimate the position of a part of the input video frame (usually a moving object), our approach can detect and track any moving object and calculate its position. Therefore, the aim of this paper is to construct a motion tracking system for the moving object. Where, at the end of this paper, the detail outcome and results are discussed using experimental results of the proposed technique.

DOI

10.21608/asat.2011.23252

Keywords

Signaling, SS7, QOS, performance evaluation, network monitoring, network management, GSM, 3G, UMTS, security, eavesdropping

Authors

First Name

A.

Last Name

Sallam

MiddleName

M.

Affiliation

Egyptian Armed Forces, Egypt.

Email

-

City

-

Orcid

-

First Name

O.

Last Name

Elmowafy

MiddleName

M.

Affiliation

Egyptian Armed Forces, Egypt.

Email

-

City

-

Orcid

-

First Name

R.

Last Name

Elbordany

MiddleName

A.

Affiliation

Egyptian Armed Forces, Egypt.

Email

-

City

-

Orcid

-

First Name

A.

Last Name

Fahmy

MiddleName

M.

Affiliation

Egyptian Armed Forces, Egypt.

Email

-

City

-

Orcid

-

Volume

14

Article Issue

AEROSPACE SCIENCES & AVIATION TECHNOLOGY, ASAT - 14 – May 24 - 26, 2011

Related Issue

4330

Issue Date

2011-05-01

Receive Date

2019-01-01

Publish Date

2011-05-01

Page Start

1

Page End

14

Print ISSN

2090-0678

Online ISSN

2636-364X

Link

https://asat.journals.ekb.eg/article_23252.html

Detail API

https://asat.journals.ekb.eg/service?article_code=23252

Order

30

Type

Original Article

Type Code

737

Publication Type

Journal

Publication Title

International Conference on Aerospace Sciences and Aviation Technology

Publication Link

https://asat.journals.ekb.eg/

MainTitle

Feature Extraction Algorithm for Real Time Object Tracking

Details

Type

Article

Created At

22 Jan 2023