Abstract
We present a novel framework for encoding images obtained by a security monitoring camera with protecting the privacy of moving objects in the images. We are motivated by the fact that although security monitoring cameras can deter crimes, they may infringe the privacy of those who and objects which are recorded by the cameras. Moving objects, whose privacy should be protected, in an input image (recorded by a monitoring camera) are encrypted and hidden in a JPEG bitstream. Therefore, a normal JPEG viewer generates a masked image, where the moving objects are unrecognizable or completely invisible. Only a special viewer with a password can reconstruct the original recording. Data hiding is achieved by watermarking and encrypting with the advanced encryption standard (AES). We illustrate a concept of our framework and an algorithm of the encoder and the special viewer. Moreover, we show an implementation example.
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References
Kitahara, I., Kogure, K., Hagita, N.: Stealth Vision for Protecting Privacy. In: Proc. of 17th International Conference on Pattern Recognition (ICPR 2004), vol. 4, pp. 404–407 (2004)
Wickramasuriya, J., Alhazzazi, M., Datt, M., Mehrotra, S., Venkatasubramanian, N.: Privacy-Protecting Video Surveillance. In: SPIE International Symposium on Electronic Imaging (Real-Time Imaging IX), San Jose, CA (January 2005)
Senior, A., Pankanti, S., Hampapur, A., Brown, L., Tian, Y., Ekin, A.: Blinkering Surveillance: Enabling Video Privacy through Computer Vision. IBM Technical Paper, RC 22886 (W0308-109), August 28 (2003), http://www.research.ibm.com/peoplevision/rc22886.pdf
Staffer, C., Grimson, W.E.L.: Adaptive Background Mixture Models for Real-Time Tracking. In: CVPR 1999, Fort Colins, CO, June, p. 2246 (1999)
Lipton, A., Fujiyoshi, H., Patil, R.S.: Moving Target Detection and Classification from Real-Time Video. In: Proceeding of IEEE WACV 1998 (November 1998)
Grimson, W.E.L., Stauffer, C., Romano, R., Lee, L.: Using Adaptive Tracking to Classify and Monitor Activities in a Site. In: IEEE Proc. Computer Vision and Pattern Recognition, pp. 22–31 (1998)
Collins, R.T., Lipton, A.J., Kanade, T.: A System for Video Surveillance and Monitoring, Carnegie Mellon University, May. MU-RI-TR-00-12, Robotics Institute (2000)
Katzenbeisser, S., Petitcolas, F.A.P., Petticolas, F.: Information Hiding Techniques for Steganography and Digital Watermarking. Artech House Publishers (2002)
Pennebacker, W.B., Mitchell, J.L.: JPEG Still Data Compression Standard, Van Nostrand Reinhold (1993)
Announcing the Advanced Encryption Standard (AES) (November 26, 2001), http://csrc.nist.gov/publications/fips/fips197/fips-197.pdf
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© 2005 Springer-Verlag Berlin Heidelberg
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Yabuta, K., Kitazawa, H., Tanaka, T. (2005). A New Concept of Security Camera Monitoring with Privacy Protection by Masking Moving Objects. In: Ho, YS., Kim, H.J. (eds) Advances in Multimedia Information Processing - PCM 2005. PCM 2005. Lecture Notes in Computer Science, vol 3767. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11581772_73
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DOI: https://doi.org/10.1007/11581772_73
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-30027-4
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