Beta
31379

AUTOMATIC ADAPTIVE WINDOW TRACKING BASED ON COLOR PROBABILITY DISTRIBUTION

Article

Last updated: 22 Jan 2023

Subjects

-

Tags

-

Abstract

This paper introduces a proposed modified approach of an end-to-end technique for moving targets tracking. The tracking technique is processed on a real-time video stream. The proposed approach is a prolongation of the Continuously Adaptive Mean Shift (CAMShift) algorithm applications. Sever variations in target shape, size and luminosity can be dealt better using this algorithm. Edge detection technique is used to deal with the change in target shape and size. An estimator is used to deal with luminosity changes. A proper size of tracking window is built with minor extra computational overhead. Experimental results show the effectiveness of the proposed algorithm.

DOI

10.21608/iceeng.2012.31379

Keywords

Tracking, CAMShift, edge detection

Authors

First Name

Wael

Last Name

Yousf

MiddleName

Mohamed

Affiliation

-

Email

-

City

-

Orcid

-

First Name

Osama

Last Name

Elmowafy

MiddleName

Mohamed

Affiliation

-

Email

-

City

-

Orcid

-

First Name

Ibrahim

Last Name

Abdl-Dayem

MiddleName

Ali

Affiliation

-

Email

-

City

-

Orcid

-

First Name

Alaa Eldin

Last Name

Fahmy

MiddleName

Mohamed

Affiliation

-

Email

-

City

-

Orcid

-

Volume

8

Article Issue

8th International Conference on Electrical Engineering ICEENG 2012

Related Issue

5272

Issue Date

2012-05-01

Receive Date

2019-05-08

Publish Date

2012-05-01

Page Start

1

Page End

9

Print ISSN

2636-4433

Online ISSN

2636-4441

Link

https://iceeng.journals.ekb.eg/article_31379.html

Detail API

https://iceeng.journals.ekb.eg/service?article_code=31379

Order

77

Type

Original Article

Type Code

833

Publication Type

Journal

Publication Title

The International Conference on Electrical Engineering

Publication Link

https://iceeng.journals.ekb.eg/

MainTitle

-

Details

Type

Article

Created At

22 Jan 2023