Job Description

With the context of a joint project between France and Turkey on security and comfort of frequent flyers in European airports, Eurecom is in charge to investigate the possible utilization of soft biometrics in order to increase performances of classical biometric systems based on iris or fingerprints.
Soft biometrics are physical traits (skin color, eye colors, presence of facial hair, height, weight,..), behavioral traits (gait, keystroke), or adhered to people (clothes, tattoos, earrings, etc.). Such information are used by humans to recognize each other’s in day life .
Within the context of this thesis, the Ph.D student will have to study the State-of-the-Art; to design and implement some robust algorithms enable to automatically extract by image/ video processing soft biometrics; to perform some tests and evaluations with industrial partners; to publish results.

Interested Master Students are encouraged to first read the following references prior to apply:
Dantcheva, Antitza; Velardo, Carmelo; D'angelo, Angela; Dugelay, Jean-Luc
Bag of soft biometrics for person identification : New trends and challenges
Mutimedia Tools and Applications, Springer, October 2010.

Education Level / Degree: Master
Field / specialty: Image Processing, Computer Vision, Security
Languages / systems: C/C++, OpenCv, Matlab, Matlab Image
Other important elements: English is mandatory, French is just a plus.

The application must include (I, II and III):
• I-Curriculum Vitae
• II-Motivation letter of two pages also presenting the perspectives of research and education
• III-Names and addresses of three references
Applications should be submitted by e-mail to "secretariat@eurecom.fr" with the reference: MM_JLD_PhD_OCT2014

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