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Patent

System for video based face recognition using an adaptive dictionary

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TLDR
In this paper, a dictionary including a target collection defined by images that are known with a defined level of certainty to include a subject and an imposter collection defined of images of individuals other than the subject is used.
Abstract
The method includes a dictionary including a target collection defined by images that are known with a defined level of certainty to include a subject and an imposter collection defined by images of individuals other than the subject. In the method, images of an area are captured over a period of time. In respect of each image: a matching calculation is carried out, based upon a comparison of the image captured with the images in the dictionary to result in a measure of confidence that the subject is in the area; and an inference determination is made to replace one of the target collection images with a further image that is known with the defined level of certainty, the determination being a function of the measure of confidence resultant from the captured image, the measure resultant from one or more previously captured images and the associated capture times.

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References
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Journal ArticleDOI

Robust Real-Time Face Detection

TL;DR: In this paper, a face detection framework that is capable of processing images extremely rapidly while achieving high detection rates is described. But the detection performance is limited to 15 frames per second.
Journal ArticleDOI

Robust Face Recognition via Sparse Representation

TL;DR: This work considers the problem of automatically recognizing human faces from frontal views with varying expression and illumination, as well as occlusion and disguise, and proposes a general classification algorithm for (image-based) object recognition based on a sparse representation computed by C1-minimization.
Proceedings ArticleDOI

Face recognition in unconstrained videos with matched background similarity

TL;DR: A comprehensive database of labeled videos of faces in challenging, uncontrolled conditions, the ‘YouTube Faces’ database, along with benchmark, pair-matching tests are presented and a novel set-to-set similarity measure, the Matched Background Similarity (MBGS), is described.
Patent

Electromagnetic pulse (EMP) hardened information infrastructure with extractor, cloud dispersal, secure storage, content analysis and classification and method therefor

TL;DR: In this paper, the authors describe a method and system that processes data in a distributed computing system to survive an electromagnetic pulse (EMP) attack, where the data input or put through the computing system is processed to obtain the SC and other associated content.
Journal ArticleDOI

Toward a Practical Face Recognition System: Robust Alignment and Illumination by Sparse Representation

TL;DR: This work proposes a conceptually simple face recognition system that achieves a high degree of robustness and stability to illumination variation, image misalignment, and partial occlusion, and demonstrates how to capture a set of training images with enough illumination variation that they span test images taken under uncontrolled illumination.