Near real-time face detection and recognition using a wireless camera network

Francesco Nicolo; Srikanth Parupati; Vinod Kulathumani; Natalia A. Schmid

doi:10.1117/12.920696

17 May 2012 Near real-time face detection and recognition using a wireless camera network

Francesco Nicolo, Srikanth Parupati, Vinod Kulathumani, Natalia A. Schmid

Proceedings Volume 8392, Signal Processing, Sensor Fusion, and Target Recognition XXI; 83921I (2012) https://doi.org/10.1117/12.920696
Event: SPIE Defense, Security, and Sensing, 2012, Baltimore, Maryland, United States

Abstract

We present a portable wireless multi-camera network based system that quickly recognizes face of human subjects. The system uses low-power embedded cameras to acquire video frames of subjects in an uncontrolled environment and opportunistically extracts frontal face images in real time. The extracted images may have heavy motion blur, small resolution and large pose variability. A quality based selection process is first employed to discard some of the images that are not suitable for recognition. Then, the face images are geometrically normalized according to a pool of four standard resolutions, by using coordinates of detected eyes. The images are transmitted to a fusion center which has a multi-resolution templates gallery set. An optimized double-stage recognition algorithm based on Gabor filters and simplified Weber local descriptor is implemented to extract features from normalized probe face images. At the fusion center the comparison between gallery images and probe images acquired by a wireless network of seven embedded cameras is performed. A score fusion strategy is adopted to produce a single matching score. The performance of the proposed algorithm is compared to the commercial face recognition engine Faceit G8 by L1 and other well known methods based on local descriptors. The experiments show that the overall system is able to provide similar or better recognition performance of the commercial engine with a shorter computational time, especially with low resolution face images. In conclusion, the designed system is able to detect and recognize individuals in near real time.

Citation Download Citation

Francesco Nicolo, Srikanth Parupati, Vinod Kulathumani, and Natalia A. Schmid "Near real-time face detection and recognition using a wireless camera network", Proc. SPIE 8392, Signal Processing, Sensor Fusion, and Target Recognition XXI, 83921I (17 May 2012); https://doi.org/10.1117/12.920696

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available