Compressive sensing based video scrambling for privacy protection

Surveillance video privacy protection has drawn significant attention recently. In this paper, we describe a privacy protected video surveillance system which utilizes the emerging compressive sensing (CS) theory. Privacy regions are scrambled through block based CS sampling on quantized coefficients during compression. Security is ensured by key controlled chaotic sequence which is used to construct CS measurement matrix. To prevent drift error caused by scrambling, a coding restricted scheme is exploited. Experimental results show that the proposed system effectively protects privacy with the scene intelligible. Compared with the existing ones, this system has high security and dramatic coding efficiency improvement.