Multiple-frames super-resolution for closed circuit television forensics

Nazri A. Zamani, M. Zaharudin A Darus, Siti Norul Huda Sheikh Abdullah, Md. Jan Nordin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

CCTV forensics is a very challenging task as video files seized from a CCTV DVR can be in a detrimental state with bad lighting ambience, noise, blurring due to optical settings and motion, compression artifacts, interlaces and low-resolved frame size to name a few. This always results in the difficulties in analyzing subjects in the video which are subjected to investigation. We present a multiple-frames Super-Resolution technique by combining a sequence of video frames of a subject in order to create a super-resolved frame of the subject with increased resolution and clarities. For that purpose, we used Projection onto Convex Sets (POCS) method for the super-resolution. For estimating the shift and rotational parameters of frames for the POCS we used Keren for that purpose. This process is tested with real footage of CCTV video which we did simulation on a crime scene. From the experiments we conducted, the results found are far exceeding in quality than conventional image resampling methods.

Original languageEnglish
Title of host publicationProceedings of the 2011 International Conference on Pattern Analysis and Intelligent Robotics, ICPAIR 2011
Pages36-40
Number of pages5
Volume1
DOIs
Publication statusPublished - 2011
Event2011 International Conference on Pattern Analysis and Intelligent Robotics, ICPAIR 2011 - Putrajaya
Duration: 28 Jun 201129 Jun 2011

Other

Other2011 International Conference on Pattern Analysis and Intelligent Robotics, ICPAIR 2011
CityPutrajaya
Period28/6/1129/6/11

Fingerprint

Closed circuit television systems
Television
Networks (circuits)
Crime
Lighting
Experiments

Keywords

  • CCTV forensics
  • Keren
  • POCS
  • Super-resolution

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Human-Computer Interaction

Cite this

Zamani, N. A., Darus, M. Z. A., Sheikh Abdullah, S. N. H., & Nordin, M. J. (2011). Multiple-frames super-resolution for closed circuit television forensics. In Proceedings of the 2011 International Conference on Pattern Analysis and Intelligent Robotics, ICPAIR 2011 (Vol. 1, pp. 36-40). [5976908] https://doi.org/10.1109/ICPAIR.2011.5976908

Multiple-frames super-resolution for closed circuit television forensics. / Zamani, Nazri A.; Darus, M. Zaharudin A; Sheikh Abdullah, Siti Norul Huda; Nordin, Md. Jan.

Proceedings of the 2011 International Conference on Pattern Analysis and Intelligent Robotics, ICPAIR 2011. Vol. 1 2011. p. 36-40 5976908.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Zamani, NA, Darus, MZA, Sheikh Abdullah, SNH & Nordin, MJ 2011, Multiple-frames super-resolution for closed circuit television forensics. in Proceedings of the 2011 International Conference on Pattern Analysis and Intelligent Robotics, ICPAIR 2011. vol. 1, 5976908, pp. 36-40, 2011 International Conference on Pattern Analysis and Intelligent Robotics, ICPAIR 2011, Putrajaya, 28/6/11. https://doi.org/10.1109/ICPAIR.2011.5976908
Zamani NA, Darus MZA, Sheikh Abdullah SNH, Nordin MJ. Multiple-frames super-resolution for closed circuit television forensics. In Proceedings of the 2011 International Conference on Pattern Analysis and Intelligent Robotics, ICPAIR 2011. Vol. 1. 2011. p. 36-40. 5976908 https://doi.org/10.1109/ICPAIR.2011.5976908
Zamani, Nazri A. ; Darus, M. Zaharudin A ; Sheikh Abdullah, Siti Norul Huda ; Nordin, Md. Jan. / Multiple-frames super-resolution for closed circuit television forensics. Proceedings of the 2011 International Conference on Pattern Analysis and Intelligent Robotics, ICPAIR 2011. Vol. 1 2011. pp. 36-40
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