Your browser does not support JavaScript!
http://iet.metastore.ingenta.com
1887

access icon free Access control based on gait analysis and face recognition

According to a new market research report, electronic access control system is expected to be worth $16.3 billion by 2017. Vision-based biometric authentication systems have received much attention with increasing demands for long distance surveillance applications and access control to the security area. Such visual application is mainly focused on face recognition. Nevertheless, small size or poor quality images with varying poses, illumination, expressions, glasses or hats and so on can perturb the recognition. To deal with such problems, the fusing of both face recognition and gait analysis is proposed. Gait has recently become one of the most emerging biometrics for non-intrusive person identification. A system is proposed in which information provided by face recognition and gait analysis is fused to identify people. Such a system has direct industrial applications since it is a non-intrusive security system that is reliable, easily deployable and just needs an inexpensive camera.

References

    1. 1)
      • 1. Viola, P., Jones, M.: ‘Rapid object detection using a boosted cascade of simple features’. Int. Conf. on Computer Vision and Pattern Recognition, Kavai, HI, USA, December 2001, pp. 511518.
    2. 2)
      • 3. Dollar, P., Belongie, S., Perona, P.: ‘The fastest pedestrian detector in the west’. Proc. of British Machine Vision Conf., Aberystwyth, UK, September 2010, pp. 111.
    3. 3)
      • 2. Kelly, P., Ciarán, O.C., Monaghan, D., Kuklyte, J., Connaghan, D., Agapito, P.M., Juan, D., Daras, P.: ‘Performance analysis and visualisation in tennis using a low-cost camera network’. Multimedia Grand Challenge Track at ACM Multimedia, Scottsdale, AZ, USA, November 2010, pp. 2529.
    4. 4)
    5. 5)
      • 5. Derbel, A., Treuillet, S., Ben Jemaa, Y., Emile, B., Ben Hamadou, A.: ‘Human identification in frontal view using the silhouette motion distribution’. RFIA, Rouen, France, July 2014.
    6. 6)
http://iet.metastore.ingenta.com/content/journals/10.1049/el.2015.0767
Loading

Related content

content/journals/10.1049/el.2015.0767
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading
Correspondence
This article has following corresponding article(s):
interview
Errata
An Erratum has been published for this content:
Erratum: ‘Access control based on gait analysis and face recognition’
This is a required field
Please enter a valid email address