Comparative analysis of the variability of facial landmarks for forensics using CCTV images
Entity
UAM. Departamento de Tecnología Electrónica y de las ComunicacionesPublisher
Springer Berlin HeidelbergDate
2014Citation
10.1007/978-3-642-53842-1_35
Image and Video Technology: 6th Pacific-Rim Symposium, PSIVT 2013, Guanajuato, Mexico, October 28-November 1, 2013. Proceedings. Lecture Notes in Computer Science, volumen 8333. Springer, 2014. 409-418
ISSN
0302-9743 (print); 1611-3349 (online)ISBN
978-3-642-53841-4 (print); 978-3-642-53842-1 (online)DOI
10.1007/978-3-642-53842-1_35Funded by
This work has been partially supported by a contract with Spanish Guardia Civil and projects BBfor2 (FP7-ITN-238803), Bio-Shield (TEC2012-34881), Contexts (S2009/TIC-1485), TeraSense (CSD2008-00068) and “Catedra UAM-Telefonica”.Project
info:eu-repo/grantAgreement/EC/FP7/238803; Comunidad de Madrid. S2009/TIC-1485/CONTEXTSEditor's Version
http://dx.doi.org/10.1007/978-3-642-53842-1_35Subjects
forensics; face recognition; video surveillance; data analysis; TelecomunicacionesNote
The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-642-53842-1_35Proceedings of the 6th Pacific-Rim Symposium, PSIVT 2013, Guanajuato, Mexico, October 28-November 1, 2013.
Rights
© Springer-Verlag Berlin Heidelberg 2014Abstract
This paper reports a study of the variability of facial landmarks in a forensic scenario using images acquired from CCTV images. This type of images presents a very low quality and a large range of variability factors such as differences in pose, expressions, occlusions, etc. Apart from this, the variability of facial landmarks is affected by the precision in which the landmarks are tagged. This process can be done manually or automatically depending on the application (e.g., forensics or automatic face recognition, respectively). This study is carried out comparing both manual and automatic procedures, and also 3 distances between the camera and the subjects. Results show that landmarks located in the outer part of the face (highest end of the head, ears and chin) present a higher level of variability compared to the landmarks located the inner face (eye region, and nose). This study shows that the landmark variability increases with the distance between subject and camera, and also the results of the manual and automatic approaches are similar for the inner facial landmarks.
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Google Scholar:Vera Rodríguez, Rubén
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Tomé González, Pedro
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Fiérrez Aguilar, Julián
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Ortega García, Javier
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