Low bit-rate motion block detection for uncompressed indoor surveillance

Jia Su, Qin Liu, Takeshi Ikenaga

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

1 Citation (Scopus)

Abstract

A large number of surveillance applications requires narrow channel transmission and limited capacity storage, since very low bit-rate techniques becomes necessary. For many surveillance applications, motive objects contain most interest information. This paper proposed an enhanced motion block detector, which includes a pre-stage for adaptively classifying macroblocks into motive and static blocks. In this pre-stage, linear divided difference filter and weighted erosion filter are proposed to release from the foreground clash and lightening noise respectively. For the unimportant static macroblock, low bit-rate skip mode has been chosen as the best mode. Simulation results shows, compared to the conventional work, it can achieve 24%-38% bit-rate saving, 8%-44% ME time saving and higher detection accuracy for uncompressed surveillance videos.

Original languageEnglish
Title of host publicationProceedings - 2010 10th International Conference on Computational Science and Its Applications, ICCSA 2010
EditorsAndres Iglesias, Osvaldo Gervasi, Marina L. Gavrilova, David Taniar, Bernady O. Apduhan
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages327-330
Number of pages4
ISBN (Electronic)9780769539997
DOIs
Publication statusPublished - 2010 Jan 1
Event10th International Conference on Computational Science and Its Applications, ICCSA 2010 - Fukuoka, Japan
Duration: 2010 Mar 232010 Mar 26

Publication series

NameProceedings - 2010 10th International Conference on Computational Science and Its Applications, ICCSA 2010

Other

Other10th International Conference on Computational Science and Its Applications, ICCSA 2010
CountryJapan
CityFukuoka
Period10/3/2310/3/26

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Keywords

  • Divided difference filter
  • Erosion filter
  • H.264
  • Video survillance

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Signal Processing
  • Computational Mechanics
  • Computational Mathematics
  • Numerical Analysis

Cite this

Su, J., Liu, Q., & Ikenaga, T. (2010). Low bit-rate motion block detection for uncompressed indoor surveillance. In A. Iglesias, O. Gervasi, M. L. Gavrilova, D. Taniar, & B. O. Apduhan (Eds.), Proceedings - 2010 10th International Conference on Computational Science and Its Applications, ICCSA 2010 (pp. 327-330). (Proceedings - 2010 10th International Conference on Computational Science and Its Applications, ICCSA 2010). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCSA.2010.77