Collaborative multi-camera face recognition and tracking

In this paper, a framework for collaborative face recognition from video sequences in a multi-camera environment is proposed. Collaboration between cameras allows for higher recognition performance in both the common and non-common field-of-view (FOV) cases. For the latter, the appearance of an object in a nearby camera is predicted using the last tracked position of the object paired with a time-of-arrival model between camera pairs. An experiment using four cameras in an office environment confirms the applicability and performance gains of the proposed framework.

[1]  Rainer Stiefelhagen,et al.  Multi-pose Face Recognition for Person Retrieval in Camera Networks , 2010, 2010 7th IEEE International Conference on Advanced Video and Signal Based Surveillance.

[2]  Chu-Sing Yang,et al.  The study and implementation of real-time face recognition and tracking system , 2010, 2010 International Conference on Machine Learning and Cybernetics.

[3]  Ming-Hsuan Yang,et al.  Incremental Learning for Robust Visual Tracking , 2008, International Journal of Computer Vision.

[4]  Bir Bhanu,et al.  Face recognition in multi-camera surveillance videos , 2012, Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012).

[5]  Paul A. Viola,et al.  Rapid object detection using a boosted cascade of simple features , 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.

[6]  Christophe Garcia,et al.  Enhancing face recognition from video sequences using robust statistics , 2005, IEEE Conference on Advanced Video and Signal Based Surveillance, 2005..

[7]  David J. Kriegman,et al.  Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection , 1996, ECCV.

[8]  David J. Kriegman,et al.  Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection , 1996, ECCV.

[9]  Alex Pentland,et al.  Bayesian face recognition , 2000, Pattern Recognit..

[10]  Yunhong Wang,et al.  Video-based Face Recognition: A Survey , 2009 .

[11]  Vladimir Pavlovic,et al.  An efficient IP approach to constrained multiple face tracking and recognition , 2011, 2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops).

[12]  Ying Zhu,et al.  Multi-Camera Face Recognition by Reliability-Based Selection , 2006, 2006 IEEE International Conference on Computational Intelligence for Homeland Security and Personal Safety.

[13]  Anil K. Jain,et al.  Handbook of Face Recognition, 2nd Edition , 2011 .

[14]  Jake K. Aggarwal,et al.  Fusing face recognition from multiple cameras , 2009, 2009 Workshop on Applications of Computer Vision (WACV).

[15]  Jing Xiao,et al.  Robust full‐motion recovery of head by dynamic templates and re‐registration techniques , 2003 .

[16]  Alex Pentland,et al.  Face recognition using eigenfaces , 1991, Proceedings. 1991 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.