Hierarchical decision based on higher order statistical on foreground detection in video sequence

Author

Tsai, Tsung-Han ; Lin, Chung-Yuan

Author_Institution

Dept. of Electr. Eng., Nat. Central Univ., Taipei, Taiwan

Volume

2

fYear

2003

fDate

27-30 Dec. 2003

Firstpage

721

Abstract

An inter-frame segmentation strategy to assist region-based statistical test is presented. It is based on luminance and chromatic morphological algorithm, followed by a higher order statistical test (HOS). The HOS algorithm is suited for very small moving because of the characterization that suppress the statistic of Gaussian-distributed and enlarge the statistic of non-Gaussian-distributed. Due to the experiment result, we design a hierarchical decision to cancel the tracking computation had when one sequence lacking the motion information.

Keywords

image morphing; image segmentation; image sequences; statistical analysis; video signal processing; chromatic morphological algorithm; foreground detection; hierarchical decision; higher order statistical; inter-frame segmentation; luminance morphological algorithm; motion information; region-based statistical test; tracking computation; video sequence; Change detection algorithms; Gaussian distribution; Gaussian processes; Higher order statistics; MPEG 4 Standard; Optical noise; Streaming media; Testing; Tracking; Video sequences;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 2003 IEEE 46th Midwest Symposium on

ISSN

1548-3746

Print_ISBN

0-7803-8294-3

Type

conf

DOI

10.1109/MWSCAS.2003.1562388

Filename

1562388