alexa An Advanced Real-Time Multiple Object Tracker in Variant Outdoor Environments | OMICS International | Abstract
ISSN: 2168-9679

Journal of Applied & Computational Mathematics
Open Access

OMICS International organises 3000+ Global Conferenceseries Events every year across USA, Europe & Asia with support from 1000 more scientific Societies and Publishes 700+ Open Access Journals which contains over 50000 eminent personalities, reputed scientists as editorial board members.

Open Access Journals gaining more Readers and Citations
700 Journals and 15,000,000 Readers Each Journal is getting 25,000+ Readers

This Readership is 10 times more when compared to other Subscription Journals (Source: Google Analytics)

Research Article

An Advanced Real-Time Multiple Object Tracker in Variant Outdoor Environments

Hamed Moradi Pour* and Saeid Fazli

Electrical Engineering Department, Zanjan University, Zanjan, Iran

*Corresponding Author:
Hamed Moradi Pour
Electrical Eng. Department
Zanjan University, Zanjan, Iran
E-mail: [email protected]

Received Date: April 17, 2012; Accepted Date: July 26, 2012; Published Date: July 31, 2012

Citation: Pour HM, Fazli S (2012) An Advanced Real-Time Multiple Object Tracker in Variant Outdoor Environments. J Appl Computat Math 1:118. doi: 10.4172/2168-9679.1000118

Copyright: © 2012 Pour HM, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.


Tracking of humans in dynamic scenes has been an important topic of research. There has been considerable work in tracking humans and other objects in recent years. A real-time method for tracking multiple moving objects based on effective Gaussian Mixture Model (GMM), and identifying the moving objects with Joint Probability Data Association Filter (JPDAF) is proposed in this paper. Most tracking algorithms have better performance under static background but get worse results under background with fake motions. Therefore, most of the tracking algorithms are used in indoor environment. An adaptive Gaussian Mixtures has a nice property in resolving this problem. This paper uses recursive equations to constantly update the parameters of a Gaussian Mixture Model and to simultaneously select the appropriate number of components for each pixel. Therefore, this method is more time and memory efficient than the common GMM with the fixed component number. In tracking multiple moving objects, problems occur when objects pass across each other. The JPDAF method is used in this paper to solve this problem. Moreover, it can effectively deal with the various scenes such as the indoor scene, the outdoor scene, and the cluttered scene. The experimental results on our test sequence demonstrate the high efficiency of the proposed method.


Peer Reviewed Journals
Make the best use of Scientific Research and information from our 700 + peer reviewed, Open Access Journals
International Conferences 2018-19
Meet Inspiring Speakers and Experts at our 3000+ Global Annual Meetings

Contact Us

Agri & Aquaculture Journals

Dr. Krish

[email protected]

+1-702-714-7001Extn: 9040

Biochemistry Journals

Datta A


[email protected]

1-702-714-7001Extn: 9037

Business & Management Journals


porn sex

[email protected]

1-702-714-7001Extn: 9042

Chemistry Journals

Gabriel Shaw

Gaziantep Escort

[email protected]

1-702-714-7001Extn: 9040

Clinical Journals

Datta A


[email protected]

1-702-714-7001Extn: 9037

Engineering Journals

James Franklin

[email protected]

1-702-714-7001Extn: 9042

Food & Nutrition Journals

Katie Wilson

[email protected]

1-702-714-7001Extn: 9042

General Science

Andrea Jason

mp3 indir

[email protected]

1-702-714-7001Extn: 9043

Genetics & Molecular Biology Journals

Anna Melissa

[email protected]

1-702-714-7001Extn: 9006

Immunology & Microbiology Journals

David Gorantl

[email protected]

1-702-714-7001Extn: 9014

Materials Science Journals

Rachle Green

[email protected]

1-702-714-7001Extn: 9039

Nursing & Health Care Journals

Stephanie Skinner

[email protected]

1-702-714-7001Extn: 9039

Medical Journals


Nimmi Anna

[email protected]

1-702-714-7001Extn: 9038

Neuroscience & Psychology Journals

Nathan T


[email protected]

1-702-714-7001Extn: 9041

Pharmaceutical Sciences Journals

Ann Jose

[email protected]

1-702-714-7001Extn: 9007

Social & Political Science Journals

Steve Harry

[email protected]

1-702-714-7001Extn: 9042

© 2008- 2018 OMICS International - Open Access Publisher. Best viewed in Mozilla Firefox | Google Chrome | Above IE 7.0 version