alexa Surveillance Mining System for Low Resolution Face Ima
ISSN ONLINE(2319-8753)PRINT(2347-6710)

International Journal of Innovative Research in Science, Engineering and Technology
Open Access

Like us on:
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)

Special Issue Article

Surveillance Mining System for Low Resolution Face Image Recognition Using Kernel Coupling

To read the full article Peer-reviewed Article PDF image


Video surveillance systems for face recognition are confronted with low-resolution face images. Low resolution face images coming from real time video does not give discriminant information to identify similar images in a dataset. Traditional method solved this problem through employing super- resolution (SR). But these are time-consuming, sophisticated SR algorithms. These algorithm are not suitable for real-time applications. To avoid the limitations, in this work, new feature extraction method for LR faces called coupled kernel distance metric learning (KCDML) is proposed without any SR pre-processing. By using a kernel trick and a specialized locality preserving criterion, we formulated the problem of coupled kernel embedding as an optimization problem whose aims are to search for the pair-wise sample staying as close as possible and to preserve the local structure intrinsic data geometry. Instead of an iterative solution, one single generalized Eigen- decomposition can be leveraged to compute the two transformation matrices for two classifications of data sets.


Share This Page

Additional Info

Loading Please wait..
Peer Reviewed Journals
Make the best use of Scientific Research and information from our 700 + peer reviewed, Open Access Journals
International Conferences 2017-18
Meet Inspiring Speakers and Experts at our 3000+ Global Annual Meetings

Contact Us

© 2008-2017 OMICS International - Open Access Publisher. Best viewed in Mozilla Firefox | Google Chrome | Above IE 7.0 version