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Forensic Video Investigation

The surveillance videotape as evidence in court

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Book cover Multimedia Video-Based Surveillance Systems

Abstract

At forensic laboratories, cases are submitted for forensic investigation of videotapes and recorders. The video investigation is often requested by the court for different types of crime, like robberies and homicides. For these investigations, most laboratories use a computer to digitize the images uncompressed in such that they try to minimize the wear of the videotape as much as possible.

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References

  1. Watanabe E. A study of improvement of obscure video Images”, European Conference on Security and Detection. 28-30 April 1997; 21–25.

    Google Scholar 

  2. John C. Russ. Video Digitisers — A user’s perspective”, Journal of Computer Assisted Microscopy. Vol. 7; No.1; 1995

    Google Scholar 

  3. Magelsdorf C. Video A/D-Umsetzer uberschauen. Elektronikpraxis. Vol. 30; No. 14; 1995; 28–30; 32-33.

    Google Scholar 

  4. Jakeman I; Tiwebell, J.D. Who’s interpreting the truth — the human brain or technology. IEE Colloquium on Image Processing for Security, Applications (Ref. No. 1997/074); pp. 1–7.

    Google Scholar 

  5. Schultz, R.R; Stevenson, R.L. Video resolution enhancement; SPIE; Vol. 2421; pp. 23–34.

    Google Scholar 

  6. Hardie, R.C; Barnard, K.J.e.a. High-resolution image reconstruction from a sequence of rotated and translated frames abd its application to an infrared imaging system. Opt. Eng. 37(1); 247–260; pp. 247-260.

    Google Scholar 

  7. L. Rudin, Frederic Guichard, Frame Fusion for super resolving forensic video, in Signal Processing, Invited session on Law Enforcement Operations, Sensor Fusion Conference #2755, SPIE-Aero Sense-96, Orlando, FL, 1996

    Google Scholar 

  8. F. Guichard, L. Rudin, Frame Fusion, Proc. IEEE International Conference on Image Processing, ICP-96, Switzerland, 1996

    Google Scholar 

  9. Stephen Intille, James Davis, Aaron Bobick. Real-Time Close-World Tracking. M.I.T. Media Laboratory Perceptual Computing Section Technical Report No. 403.

    Google Scholar 

  10. Bijhold, J.; Kuijper, A. e.a. Comparative study of image restoration techniques in forensic image processing, in Investigative Image Processing, Leonid I. Rudin, Simon K. Bramble, Proc. SPIE 2942 pp. 10–21.

    Google Scholar 

  11. Kornprobst, P; Deriche, R. Image Restoration via PDE. in Investigative Image Processing, Leonid I. Rudin, Simon K. Bramble, Proceedings SPIE 2942; 22–33.

    Google Scholar 

  12. L. Rudin, S. Osher, E. Fatemi: Non Linear Total Variation based noise removal algorithms, Physica D, 60 (1992), pp. 259–268

    Article  MATH  Google Scholar 

  13. L. Rudin, S. Osher, “ Total Variation Based Image Restoration with free local Constraints”, IEEE International Conference on Image processing, ICP-94, 1994, 248-26

    Google Scholar 

  14. Olsen, S.I. Estimation of noise in images: an evaluation. VGIP: Graphical Methods and Image Processing, 55; 319–323.

    Google Scholar 

  15. ShA4LABS, software developed at the Netherlands Forensic Science Laboratory, department Computer Science, http://csrc.nist.gov/cryptval/dss/dssval.htm

  16. Kelsey, J.; Schneier, B.; Hall, C. An Authenticated Camera. IEEE 2313; 24–30

    Google Scholar 

  17. Lewis, S.R. Future System Specifications for traffic enforcement equipment. IEE Colloquium on Camera Enforcement of Traffic Regulations (Digest No. 1996/252) p.8/1-2

    Google Scholar 

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© 2000 Springer Science+Business Media New York

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Geradts, Z., Bijhold, J. (2000). Forensic Video Investigation. In: Foresti, G.L., Mähönen, P., Regazzoni, C.S. (eds) Multimedia Video-Based Surveillance Systems. The Springer International Series in Engineering and Computer Science, vol 573. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-4327-5_1

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  • DOI: https://doi.org/10.1007/978-1-4615-4327-5_1

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4613-6943-1

  • Online ISBN: 978-1-4615-4327-5

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