Low bit-rate motion block detection for uncompressed indoor surveillance

Jia Su, Qin Liu, Takeshi Ikenaga

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

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.

本文言語English
ホスト出版物のタイトルProceedings - 2010 10th International Conference on Computational Science and Its Applications, ICCSA 2010
編集者Andres Iglesias, Osvaldo Gervasi, Marina L. Gavrilova, David Taniar, Bernady O. Apduhan
出版社Institute of Electrical and Electronics Engineers Inc.
ページ327-330
ページ数4
ISBN(電子版)9780769539997
DOI
出版ステータスPublished - 2010 1月 1
イベント10th International Conference on Computational Science and Its Applications, ICCSA 2010 - Fukuoka, Japan
継続期間: 2010 3月 232010 3月 26

出版物シリーズ

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

Other

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

ASJC Scopus subject areas

  • 人工知能
  • コンピュータ ネットワークおよび通信
  • コンピュータ サイエンスの応用
  • 信号処理
  • 計算力学
  • 計算数学
  • 数値解析

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