NDLI: Evaluating the efficacy of RGB-D cameras for surveillance

Content Provider	IEEE Xplore Digital Library
Author	Raghuraman, S. Bahirat, K. Prabhakaran, B.
Copyright Year	2015
Description	Author affiliation: Univ. of Texas at Dallas, Dallas, TX, USA (Raghuraman, S.; Bahirat, K.; Prabhakaran, B.)
Abstract	RGB-D cameras have enabled real-time 3D video processing for numerous computer vision applications, especially for surveillance type applications. In this paper, we first present a real-time anti-forensic 3D object stream manipulation framework to capture and manipulate live RBG-D data streams to create realistic images/videos showing individuals performing activities they did not actually do. The framework uses computer vision and graphics methods to render photorealistic animations of live mesh models captured using the camera. Next, we conducted a visual inspection of the manipulated RGB-D streams (just like security personnel would do) by users who are computer vision and graphics scientists. The study shows that it was significantly difficult to distinguish between the real or reconstructed rendering of such 3D video sequences, thus clearly showing the potential security risk involved. Finally, we investigate the efficacy of forensic approaches for detecting such manipulations.
Starting Page	1
Ending Page	6
File Size	1435170
Page Count	6
File Format	PDF
ISBN	9781479970827
DOI	10.1109/ICME.2015.7177415
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-06-29
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Three-dimensional displays Streaming media Image segmentation Noise Image color analysis Skeleton Cameras 3D animation anti-forensic RGB-D forgery security image rendering
Content Type	Text
Resource Type	Article

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