Proceedings ArticleDOI
Content based indexing of images and video using face detection and recognition methods
Stefan Eickeler,Frank Wallhoff,U. lurgel,Gerhard Rigoll +3 more
- Vol. 3, pp 1505-1508
TLDR
An image and video indexing approach that combines face detection and face recognition methods that is able to discriminate between three different newscasters and an interviewed person is presented.Abstract:
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.read more
Citations
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Book ChapterDOI
Person spotting: video shot retrieval for face sets
TL;DR: Progress is described in harnessing multiple exemplars of each person in a form that can easily be associated automatically using straightforward visual tracking in order to retrieve humans automatically in videos, given a query face in a shot.
Proceedings ArticleDOI
Video data mining using configurations of viewpoint invariant regions
Josef Sivic,Andrew Zisserman +1 more
TL;DR: A method for obtaining the principal objects, characters and scenes in a video by measuring the reoccurrence of spatial configurations of viewpoint invariant features, and that efficient methods from the text analysis literature are employed to reduce the matching complexity.
Journal ArticleDOI
Face recognition from video: a review
TL;DR: A broad and deep review of recently proposed methods for overcoming the difficulties encountered in unconstrained settings is presented and connections between the ways in which humans and current algorithms recognize faces are drawn.
Journal ArticleDOI
A separable low complexity 2D HMM with application to face recognition
Hisham Othman,Tyseer Aboulnasr +1 more
TL;DR: A novel low-complexity separable but true 2D Hidden Markov Model (HMM) and its application to the problem of Face Recognition (FR) and the impact of key model parameters is studied.
Patent
Occlusion/disocclusion detection using K-means clustering near object boundary with comparison of average motion of clusters to object and background motions
TL;DR: In this paper, an object in a video sequence is tracked by object masks generated for frames in the sequence, and the motion vectors in the object are clustered using a K-means algorithm.
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