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Damascening video databases for evaluation of face tracking and recognition – The DXM2VTS database
Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE), Halmstad Embedded and Intelligent Systems Research (EIS), Intelligent systems (IS-lab).ORCID iD: 0000-0002-4929-1262
Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE), Halmstad Embedded and Intelligent Systems Research (EIS), Intelligent systems (IS-lab).
2007 (English)In: Pattern Recognition Letters, ISSN 0167-8655, E-ISSN 1872-7344, Vol. 28, no 15, p. 2143-2156Article in journal (Refereed) Published
Abstract [en]

Performance quantification of biometric systems, such as face tracking and recognition highly depend on the database used for testing the systems. Systems trained and tested on realistic and representative databases evidently perform better. Actually, the main reason for evaluating any system on test data is that these data sets represent problems that systems might face in the real world. However, building biometric video databases with realistic background for testing is expensive especially due to its high demand of cooperation from the side of the participants. For example, XM2VTS database contain thousands of video recorded in a studio from 295 subjects. Recording these subjects repeatedly in public places such as supermarkets, offices, streets, etc., is not realistic. To this end, we present a procedure to separate the background of a video recorded in studio conditions with the purpose to replace it with an arbitrary complex background, e.g., outdoor scene containing motion, to measure performance, e.g., eye tracking. Furthermore, we present how an affine transformation and synthetic noise can be incorporated into the production of the new database to simulate natural noise, e.g. motion blur due to translation, zooming and rotation. The entire system is applied to the XM2VTS database, which already consists of several terabytes of data, to produce the DXM2VTS–Damascened XM2VTS database essentially without an increase in resource consumption, i.e., storage, bandwidth, and most importantly, the time of clients populating the database, and the time of the operators.

Place, publisher, year, edition, pages
Amsterdam: Elsevier, 2007. Vol. 28, no 15, p. 2143-2156
Keywords [en]
Biometrics, XM2VTS, Damascened video, Face tracking, Face recognition, Performance quantification
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:hh:diva-1334DOI: 10.1016/j.patrec.2007.06.007ISI: 000250377600026Scopus ID: 2-s2.0-34548702005Local ID: 2082/1713OAI: oai:DiVA.org:hh-1334DiVA, id: diva2:238552
Available from: 2008-04-16 Created: 2008-04-16 Last updated: 2018-03-23Bibliographically approved
In thesis
1. Audio-video synthesis methods for improving performance of biometric systems
Open this publication in new window or tab >>Audio-video synthesis methods for improving performance of biometric systems
2007 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

System security is important for any automation. It is even more so in the case of biometric systems due to the sensitive nature of the data it uses for enrollment and authentication - the subjects physical or biological trait. The performance quantification of biometric systems, such as face tracking and recognition, highly depend on the database used for testing the systems. Systems trained and tested on realistic and represenative databases evidently perform better. In fact, the main reason for evaluating any system on test data is that these data sets represent problems that system might face in the real world. However, building biometric databases that represent the real world is an expensive task due to its high demand on the side of the participants. This becomes even more difficult and unrealistic if the data is to be collected in a natural environment such as supermarkets, offices, streets, etc.

This thesis presents a procedure to build a synthetic biometric database by damascening images from a studio recorded database with a realistic scenery. To this end, we developed an image segmenation procedure to spearate the background of a video recorded in studio conditions with the prupose to replace it with an arbitrary complex background. Furthermore, we present how several degradations such as affine transformation, imaging noise, and motion blur can be incorporated into the production of the new database to simulate natural recording environments. The system is applied to the entire XM2VTS database, which already consists of several terabytes of data, to produce the DXM2VTS - Damascened XM2VTS database.

Moreover, the thesis presents a method to segment a video sequence in the time domain based on its audio concept. The video is then reshuffled and used for testing resilience of text-prompted biometric systems against playback attacks. The playback is supported by pyramid based frame interpolation method to reduce discontinuities created at the digit boundaries in time.

Place, publisher, year, edition, pages
Gothenburg: Department of Signals and Systems, Chalmers University of Technology, 2007. p. 31
Series
Technical report R, ISSN 1403-266X ; 2007:6
Keywords
Biometrics, Audio-Video synthesis, Image segmentation, XM2VTS, DXM2VTS
National Category
Computer Sciences
Identifiers
urn:nbn:se:hh:diva-1976 (URN)2082/2371 (Local ID)2082/2371 (Archive number)2082/2371 (OAI)
Presentation
2007-04-24, R1107, Halmstad, 13:15
Supervisors
Available from: 2008-09-29 Created: 2008-09-29 Last updated: 2018-03-23Bibliographically approved

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