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. (c) 2006 Elsevier B.V. All rights reserved.

A system for automatic face obscuration for privacy purposes / Cucchiara, R; Prati, A; Vezzani, R. - In: PATTERN RECOGNITION LETTERS. - ISSN 0167-8655. - 27:15(2006), pp. 1809-1815. [10.1016/j.patrec.2006.02.018]

A system for automatic face obscuration for privacy purposes

Cucchiara, R;Prati, A;
2006-01-01

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. (c) 2006 Elsevier B.V. All rights reserved.
2006
A system for automatic face obscuration for privacy purposes / Cucchiara, R; Prati, A; Vezzani, R. - In: PATTERN RECOGNITION LETTERS. - ISSN 0167-8655. - 27:15(2006), pp. 1809-1815. [10.1016/j.patrec.2006.02.018]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11381/2963112
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