A lire sur: http://www.atelier.net/en/trends/articles/silhouette-and-gait-analysis-enhances-biometric-toolkit_423192
Following on from the development of
facial recognition, biometric research has now taken a further step
forward with the creation of a recognition system based on a person’s
silhouette and individual way of walking.
Ramon Mollineda,
a senior lecturer at the Department of Computing Languages and Systems
at the Jaume I University near Valencia in Spain, is currently working
on the development of a new biometric technique based on the way a
person walks and his/her silhouette. The technique offers
a significant advantage over other biometric methods in that it enables
recognition of a person at a distance, thus avoiding the need for the
subject’s cooperation. Detecting suspicious behaviour via video
surveillance, monitoring access to buildings and restricted areas, and
analysing a specific population in terms of gender and age are among the
potential applications of the new technology.
Getting around the need for consent
Every person has a very individual way of walking, and
while it is true that we can all make a conscious effort to alter our
habitual gait, experiments where participants are asked to identify
people they know just by looking at a moving silhouette have achieved a
very high success rate. Starting out from a video of the subject
walking, the newly-developed system distinguishes the background
silhouette, which then becomes a sequence of silhouettes, placed one
upon the other, resulting in a summary image. This final representation
stores all physical characteristics and movements of each person
walking, thus obtaining a unique imprint for every individual person.
The drawback with the biometric technologies currently in use lies in
the fact that both fingerprinting and facial recognition techniques
require the subject to be close to a sensor and also to cooperate in the
identification process, which s/he may not necessarily wish to do. The
development of complementary techniques such as silhouette/gait
analysis, which provides a way of getting round the need to obtain an
individual’s consent, is therefore crucial.
Coupling gait analysis with facial recognition
Ramon Mollineda warns however that, for the moment, the
margin of error that gait recognition demonstrates in real scenarios
outside a controlled environment means that this technique would be much
more effective if combined with facial recognition. The Spanish
academic points out that they are in fact “complementary methods: the
way you walk can be detected from a distance without the need for a
high-resolution image and can even be carried out against a backlight or
with poor lighting; while face recognition has to be performed close-up
using a high-resolution image.” Surveillance activity could therefore
be carried out in a wider range of conditions. Moreover, if both methods
can be applied in a given situation, the results – based on contrasting
hypotheses generated by two separate biometric systems – are likely to
be more reliable, underlines Ramon Mollineda.
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