By Topic

Content based indexing of images and video using face detection and recognition methods

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Eickeler, S. ; Fac. of Electr. Eng., Gerhard Mercator Univ., Duisburg, Germany ; Wallhoff, F. ; Lurgel, U. ; Rigoll, G.

This paper presents an image and video indexing approach that combines face detection and face recognition methods. Images of a database or frames of a video sequence are scanned for faces by a neural network-based face detector. The extracted faces are then grouped into clusters by a combination of a face recognition method using pseudo two-dimensional hidden Markov models and a k-means clustering algorithm. Each resulting main cluster consists of the face images of one person. In a subsequent step, the detected faces are labeled as one of the different people in the video sequence or the image database and the occurrence of the people can be evaluated. The results of the proposed approach on a TV broadcast news sequence are presented. It is demonstrated that the system is able to discriminate between three different newscasters and an interviewed person

Published in:

Acoustics, Speech, and Signal Processing, 2001. Proceedings. (ICASSP '01). 2001 IEEE International Conference on  (Volume:3 )

Date of Conference:

2001