Privacy Protection Filter Using Shape and Color Cues

نویسندگان

  • Hajer Fradi
  • Yiqing Yan
  • Jean-Luc Dugelay
چکیده

The steady growth in the adoption of video surveillance systems emphasizes the need for privacy protection techniques. In this paper, we present a method inspired from image abstraction and non-photorealistic rendering fields for creating privacy protection filters. The effectiveness of the proposed filter has been demonstrated by assessing the intelligibility vs. privacy vs. pleasantness in a subjective evaluation framework using different videos.

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تاریخ انتشار 2014