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
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

Other

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

Fingerprint

Surveillance
Filter
Divided Differences
Video Surveillance
Motion
Storage Capacity
Erosion
Detector
Necessary
Detectors
Simulation
Object

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 Proceedings - 2010 10th International Conference on Computational Science and Its Applications, ICCSA 2010 (pp. 327-330). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCSA.2010.77

Low bit-rate motion block detection for uncompressed indoor surveillance. / Su, Jia; Liu, Qin; Ikenaga, Takeshi.

Proceedings - 2010 10th International Conference on Computational Science and Its Applications, ICCSA 2010. Institute of Electrical and Electronics Engineers Inc., 2010. p. 327-330.

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

Su, J, Liu, Q & Ikenaga, T 2010, Low bit-rate motion block detection for uncompressed indoor surveillance. in Proceedings - 2010 10th International Conference on Computational Science and Its Applications, ICCSA 2010. Institute of Electrical and Electronics Engineers Inc., pp. 327-330, 10th International Conference on Computational Science and Its Applications, ICCSA 2010, Fukuoka, Japan, 10/3/23. https://doi.org/10.1109/ICCSA.2010.77
Su J, Liu Q, Ikenaga T. Low bit-rate motion block detection for uncompressed indoor surveillance. In Proceedings - 2010 10th International Conference on Computational Science and Its Applications, ICCSA 2010. Institute of Electrical and Electronics Engineers Inc. 2010. p. 327-330 https://doi.org/10.1109/ICCSA.2010.77
Su, Jia ; Liu, Qin ; Ikenaga, Takeshi. / Low bit-rate motion block detection for uncompressed indoor surveillance. Proceedings - 2010 10th International Conference on Computational Science and Its Applications, ICCSA 2010. Institute of Electrical and Electronics Engineers Inc., 2010. pp. 327-330
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