A Person Identification Method Using a Top-View Head Image from an Overhead Camera

In this paper, we describe a novel imagebased person identification task. Traditional facebased person identification methods have a low tolerance for occluded situation, such as overlapping of people in an image. We focus on an image from an overhead camera. Using the overhead camera reduces a restriction of the installation location of a camera and solves the problem of occluded images. First, our method identifies the person’s area in a captured image by using background subtraction. Then, it extracts four features from the area; (1) body size, (2) hair color, (3) hairstyle and (4) hair whorl. We apply the four features into the AdaBoost algorithm. Experimental result shows the effectiveness of our method.

[1]  Yumi Iwashita,et al.  Gait Recognition Using Shadow Analysis , 2009, 2009 Symposium on Bio-inspired Learning and Intelligent Systems for Security.

[2]  Shigeaki Watanabe,et al.  Subspace method to pattern recognition , 1973 .

[3]  Kazutaka Shimada,et al.  Personal Identification Using Facial Feature and Context , 2011 .

[4]  Takeo Kanade,et al.  Picture Processing System by Computer Complex and Recognition of Human Faces , 1974 .

[5]  Kazutaka Shimada,et al.  Person Identification Using Top-View Image with Depth Information , 2012, SNPD.

[6]  Toshiaki Tsuji,et al.  Counting People and Recognizing Wheelchairs at Elevator Lobby by Real-Time Image Processing , 2009 .

[7]  Yoav Freund,et al.  Experiments with a New Boosting Algorithm , 1996, ICML.

[8]  J. Ross Quinlan,et al.  C4.5: Programs for Machine Learning , 1992 .

[9]  M. Turk,et al.  Eigenfaces for Recognition , 1991, Journal of Cognitive Neuroscience.

[10]  Bill Triggs,et al.  Histograms of oriented gradients for human detection , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

[11]  Tsuhan Chen,et al.  Using Context to Recognize People in Consumer Images , 2009, IPSJ Trans. Comput. Vis. Appl..

[12]  Masaki Onishi,et al.  Visualization of Customer Flow in an Office Complex over a Long Period , 2010, 2010 20th International Conference on Pattern Recognition.

[13]  Alessandro Perina,et al.  Person re-identification by symmetry-driven accumulation of local features , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.