Paper
7 March 2014 Scoring recognizability of faces for security applications
Simone Bianco, Gianluigi Ciocca, Giuseppe Claudio Guarnera, Andrea Scaggiante, Raimondo Schettini
Author Affiliations +
Proceedings Volume 9024, Image Processing: Machine Vision Applications VII; 90240L (2014) https://doi.org/10.1117/12.2041250
Event: IS&T/SPIE Electronic Imaging, 2014, San Francisco, California, United States
Abstract
In security applications the human face plays a fundamental role, however we have to assume non-collaborative subjects. A face can be partially visible or occluded due to common-use accessories such as sunglasses, hats, scarves and so on. Also the posture of the head influence the face recognizability. Given a video sequence in input, the proposed system is able to establish if a face is depicted in a frame, and to determine its degree of recognizability in terms of clearly visible facial features. The system implements features filtering scheme combined with a skin-based face detection to improve its the robustness to false positives and cartoon-like faces. Moreover the system takes into account the recognizability trend over a customizable sliding time window to allow a high level analysis of the subject behaviour. The recognizability criteria can be tuned for each specific application. We evaluate our system both in qualitative and quantitative terms, using a data set of manually annotated videos. Experimental results confirm the effectiveness of the proposed system.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Simone Bianco, Gianluigi Ciocca, Giuseppe Claudio Guarnera, Andrea Scaggiante, and Raimondo Schettini "Scoring recognizability of faces for security applications", Proc. SPIE 9024, Image Processing: Machine Vision Applications VII, 90240L (7 March 2014); https://doi.org/10.1117/12.2041250
Lens.org Logo
CITATIONS
Cited by 2 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Facial recognition systems

Sensors

Detection and tracking algorithms

Video

Skin

Mouth

Nose

RELATED CONTENT


Back to Top