Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
535708 | Pattern Recognition Letters | 2006 | 7 Pages |
Abstract
This work proposes a method for automatic face obscuration capable of protecting people’s identity. Since face detection heavily benefits from the possibility to exploit tracking, multi-camera people tracking has been integrated with a face detector based on colour clustering and Hough transform. Moreover, the multiple viewpoints provided by multiple cameras are exploited in order to always obtain a good-quality image of the face. The identity of people in different views is kept consistent by means of a geometrical, uncalibrated approach based on homographies. Experimental results show the accuracy of the proposed approach.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Vision and Pattern Recognition
Authors
Rita Cucchiara, Andrea Prati, Roberto Vezzani,