Privacy protection filter using shape and color cues

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 elds for creating privacy protection lters. The eectiveness of the proposed lter has been demonstrated by assessing the intelligibility vs. privacy vs. pleasantness in a subjective evaluation framework using dierent videos.