Advanced search ?

Object

Download

Title: Face Tracking and Recognition with the Use of Particle-Filtered Local Features, Journal of Telecommunications and Information Technology, 2010, nr 4

Creator:

Pacut, Andrzej ; Stasiak, Łukasz A.

Date:

2010, nr 4

Resource Type:

artykuł

Description:

A consistent particle filtering-based framework for the purpose of parallel face tracking and recognition from video sequences is proposed. A novel approach to defining randomized, particle filtering-driven local face features for the purpose of recognition is proposed. The potential of cumulating classification decisions based on the proposed feature set definition is evaluated. By applying cumulation mechanisms to the classification results determined from single frames and with the use of particle-filtered features, good recognition rates are obtained at the minimal computational cost. The proposed framework can operate in real-time on a typical modern PC. Additionally, the application of cumulation mechanisms makes the framework resistant to brief visual distortions, such as occlusions, head rotations or face expressions. A high performance is also obtained on low resolution images (video frames). Since the framework is based on the particle filtering principle, it is easily tunable to various application requirements (security level, hardware constraints).

Publisher:

Instytut Łączności - Państwowy Instytut Badawczy, Warszawa

Format:

application/pdf

Resource Identifier:

oai:bc.itl.waw.pl:1064 ; ISSN 1509-4553, on-line: ISSN 1899-8852

DOI:

10.26636/jtit.2010.4.1093

ISSN:

1509-4553

eISSN:

1899-8852

Source:

Journal of Telecommunications and Information Technology

Language:

ang

Rights Management:

Biblioteka Naukowa Instytutu Łączności

Subject and keywords:

biometrics videoa nalysis face recognition particle filtering

Object collections:

Last modified:

Aug 28, 2024

In our library since:

Mar 15, 2012

Number of object content hits:

91

All available object's versions:

https://bc.itl.waw.pl/publication/1183

Show description in RDF format:

RDF

Show description in OAI-PMH format:

OAI-PMH

Edition name Date
Stasiak, Łukasz A.; Pacut, Andrzej, Face Tracking and Recognition with the Use of Particle-Filtered Local Features, Journal of Telecommunications and Information Technology, 2010, nr 4 Aug 28, 2024

Objects Similar
Probabilistic Issues in Biometric Template Design, Journal of Telecommunications and Information Technology, 2010, nr 4

Pacut, Andrzej

2010, nr 4
artykuł
Iris Recognition System Based on Zak-Gabor Wavelet Packets, Journal of Telecommunications and Information Technology, 2010, nr 4

Czajka, Adam Pacut, Andrzej

2010, nr 4
artykuł
Simulation Model of Biometric Authentication Using Multiagent Approach, Journal of Telecommunications and Information Technology, 2010, nr 4

Kapczyński, Adrian Owczarek, Tomasz

2010, nr 4
artykuł
Robust and Accurate Iris Segmentation Algorithm for Colorand Noisy Eye Images, Journal of Telecommunications and Information Technology, 2010, nr 4

Strzelczyk, Przemysław

2010, nr 4
artykuł
Privacy Preserving and Secure Iris-Based Biometric Authentication for Computer Networks, Journal of Telecommunications and Information Technology, 2011, nr 4

Strzelczyk, Przemysław

2011, nr 4
artykuł
Polish Personal Identity Card as a Tool for Identity Theft, Journal of Telecommunications and Information Technology, 2015, nr 2

Owoc, Mirosław

2015, nr 2
artykuł
Cross-spectral Iris Recognition for Mobile Applications using High-quality Color Images, Journal of Telecommunications and Information Technology, 2016, nr 3

Trokielewicz, Mateusz Bartuzi, Ewelina

2016, nr 3
artykuł
The Template Selection in Biometric Systems Based on Binary Iris Codes, Journal of Telecommunications and Information Technology, 2010, nr 4

Chochowski, Marcin

2010, nr 4
artykuł
More
×

Citation

Citation style:

Contact details

Address

Instytut Łączności – Państwowy Instytut Badawczy ul. Szachowa 1 04-894 Warszawa

Phone

(+48) 5128 696

E-Mail

biblioteka@il-pib.pl

Visit us!

This page uses 'cookies'. More information