Factors on the sense of privacy in video surveillance
Proceedings of the 3rd ACM workshop on Continuous archival and retrival of personal experences
Sensing web: to globally share sensory data avoiding privacy invasion
Proceedings of the 3rd International Universal Communication Symposium
Privacy preserving: hiding a face in a face
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part II
PriSurv: privacy protected video surveillance system using adaptive visual abstraction
MMM'08 Proceedings of the 14th international conference on Advances in multimedia modeling
Recoverable privacy protection for video content distribution
EURASIP Journal on Information Security - Special issue on enhancing privacy protection in multimedia systems
Automatically protecting privacy in consumer generated videos using intended human object detector
Proceedings of the international conference on Multimedia
Dynamically visual learning for people identification with sparsely distributed cameras
SCIA'05 Proceedings of the 14th Scandinavian conference on Image Analysis
A new concept of security camera monitoring with privacy protection by masking moving objects
PCM'05 Proceedings of the 6th Pacific-Rim conference on Advances in Multimedia Information Processing - Volume Part I
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We propose an anonymous video capturing system, called "Stealth Vision", that protects the privacy of objects by fading out their appearance. In order to avoid difficulty in detecting the region of human faces (privacy-protected regions) in an image captured with a mobile camera, the fade-out areas are determined in 3D (three-dimensional) space instead of 2D image space. The 3D position of the captured object is estimated with a simple algorithm, which projects the foreground region in the overhead image onto several horizontal 3D planes and extracts the 3D position while merging the projecting results. By projecting the 3D information onto an image plane of mobile camera, the region to use for the anonymizing process is determined. Experimental results show that our system successfully protects the privacy of target objects.