NEWS
Editorial Office: Elsevier Ltd The Boulevard Langford Lane Kidlington Oxford OX5 1GB, UK Tel: +44 1865 843239 Email:
[email protected] Website: www.biometrics-today.com Publishing Director: Deborah Logan Editor: Tracey Caldwell Email:
[email protected] Production Support Manager: Lin Lucas Email:
[email protected] Subscription Information An annual subscription to Biometric Technology Today includes 10 issues and online access for up to 5 users. Prices: 1343 for all European countries & Iran US$1452 for all countries except Europe and Japan ¥178 500 for Japan Subscriptions run for 12 months, from the date payment is received. More information: http://store.elsevier.com/product.jsp?isbn=09694765 This newsletter and the individual contributions contained in it are protected under copyright by Elsevier Ltd, and the following terms and conditions apply to their use: Permissions may be sought directly from Elsevier Global Rights Department, PO Box 800, Oxford OX5 1DX, UK; phone: +44 1865 843830, fax: +44 1865 853333, email:
[email protected]. You may also contact Global Rights directly through Elsevier’s home page (www.elsevier.com), selecting first ‘Support & contact’, then ‘Copyright & permission’. In the USA, users may clear permissions and make payments through the Copyright Clearance Center, Inc., 222 Rosewood Drive, Danvers, MA 01923, USA; phone: +1 978 750 8400, fax: +1 978 750 4744, and in the UK through the Copyright Licensing Agency Rapid Clearance Service (CLARCS), 90 Tottenham Court Road, London W1P 0LP, UK; phone: +44 (0)20 7631 5555; fax: +44 (0)20 7631 5500. Other countries may have a local reprographic rights agency for payments. Derivative Works Subscribers may reproduce tables of contents or prepare lists of articles including abstracts for internal circulation within their institutions. Permission of the Publisher is required for resale or distribution outside the institution. Permission of the Publisher is required for all other derivative works, including compilations and translations. Electronic Storage or Usage Permission of the Publisher is required to store or use electronically any material contained in this journal, including any article or part of an article. Except as outlined above, no part of this publication may be reproduced, stored in a retrieval system or transmitted in any form or by any means, electronic, mechanical, photocopying, recording or otherwise, without prior written permission of the Publisher. Address permissions requests to: Elsevier Science Global Rights Department, at the mail, fax and email addresses noted above. Notice No responsibility is assumed by the Publisher for any injury and/ or damage to persons or property as a matter of products liability, negligence or otherwise, or from any use or operation of any methods, products, instructions or ideas contained in the material herein. Because of rapid advances in the medical sciences, in particular, independent verification of diagnoses and drug dosages should be made. Although all advertising material is expected to conform to ethical (medical) standards, inclusion in this publication does not constitute a guarantee or endorsement of the quality or value of such product or of the claims made of it by its manufacturer.
12985 Digitally Produced by
Mayfield Press (Oxford) Ltd
2
Biometric Technology Today
UÊÊÀiÊvÀ>ÌÊ>ÌÊ
ÌÌ«Ã\ÉÉÜÜÜ°«ÀiVtoxford.ai/demo/emotion#detection
UCF Center for Research in Computer Vision licenses video facial recognition tech to Kairos
AimBrain raises funding for behaviour based biometrics
F
S
acial recognition technology developed through the UCF Center for Research in Computer Vision has been licensed to human analytics company Kairos. The Miami-based startup will incorporate the technology, which recognises faces from video, within its core facial recognition product targeted at enterprise customers in sectors including hospitality, workforce and electronic payment industries. In its application for video, the technology provides an end-to-end face recognition system that addresses the problem of identifying a video face track using a large database of still face images. Traditional technologies are based on an expensive frame-by-frame method. Dr Shah and his team of researchers developed a novel algorithm Mean Sequence SRC that performs video face recognition using a joint optimization leveraging all of the available video data and the knowledge that the face track frames belong to the same individual. “The capability of this facial recognition technology is very exciting to us,” says Brian Brackeen, CEO of Kairos. “Facial recognition technology has been developing over the past few decades, however, video – with its motion and variations in illumination – has long been the challenge. Dr Shah and his team have developed the right solution that combines accuracy, speed and deployability for the commercial market.”
cottish security start-up AimBrain has raised £350,000 from Episode1, the venture capital firm behind Zoopla, LoveFilm and BetFair, to boost its behavioural biometrics, reports The Telegraph. AimBrain behavioural biometric tech tracks and learns how a person interacts with mobile devices, from typing speed to how hard they press or where they swipe, enabling access control.
law enforcement
Face recognition tech supports UAE police
A
face recognition system is being tested in the UAE that will enable a moving police patrol car to recognise the presence of a wanted person across the street, according to emirates247.com. The solution is capable of recognising the number plate of a moving vehicle or the face of a bystander or a pedestrian, by scanning through the entire database of wanted people, then immediately alerting the police.
wearables
Samsung unveils tiny wearables chip that can process five Microsoft Project Oxford biometric signals amsung Electronics has unveiled an seconds that emotion
M
icrosoft has launched Project Oxford, an online tool that aims to guess the emotions expressed by faces in images. Users can upload their own image to test the beta system. Microsoft says its Emotion application program interface (API) ‘uses world-class machine learning techniques to provide these results’, which assess emotions in eight classes – anger, disgust, contempt, fear, happiness, neutral, sadness and surprise. Microsoft has released an API for the emotional recognition tool, as well as APIs for tracking faces in video and identifying individual voices.
S
all-in-one advanced system logic chip for the health-oriented wearables market. The tiny Samsung Bio-Processor, now in mass production, is designed to allow accelerated development of wearable products for consumers. “With improvements in smart, fitness devices and an increase in consumer health consciousness, more and more people are looking for ways to monitor various personal bio-data, or fitness data, to constantly manage their health,” says Ben K. Hur, vice president of marketing, System LSI business at Samsung Electronics. Samsung’s Bio-Processor integrates not only Analog Front Ends but also microcontroller unit, power management integrated circuit,
January 2016