Towards robust object detection: Integrated background modeling based on spatio-temporal features

Tatsuya Tanaka, Atsushi Shimada, Rin-Ichiro Taniguchi, Takayoshi Yamashita, Daisaku Arita

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

8 Citations (Scopus)

Abstract

We propose a sophisticated method for background modeling based on spatio-temporal features. It consists of three complementary approaches: pixel-level background modeling, region-level one and frame-level one. The pixel-level background model uses the probability density function to approximate background model. The PDF is estimated non-parametrically by using Parzen density estimation. The region-level model is based on the evaluation of the local texture around each pixel while reducing the effects of variations in lighting. The frame-level model detects sudden, global changes of the the image brightness and estimates a present background image from input image referring to a background model image. Then, objects are extracted by background subtraction. Fusing their approaches realizes robust object detection under varying illumination, which is shown in several experiments.

Original languageEnglish
Title of host publicationComputer Vision, ACCV 2009 - 9th Asian Conference on Computer Vision, Revised Selected Papers
Pages201-202
Number of pages2
EditionPART 1
DOIs
Publication statusPublished - Dec 29 2010
Event9th Asian Conference on Computer Vision, ACCV 2009 - Xi'an, China
Duration: Sep 23 2009Sep 27 2009

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 1
Volume5994 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other9th Asian Conference on Computer Vision, ACCV 2009
CountryChina
CityXi'an
Period9/23/099/27/09

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All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Tanaka, T., Shimada, A., Taniguchi, R-I., Yamashita, T., & Arita, D. (2010). Towards robust object detection: Integrated background modeling based on spatio-temporal features. In Computer Vision, ACCV 2009 - 9th Asian Conference on Computer Vision, Revised Selected Papers (PART 1 ed., pp. 201-202). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5994 LNCS, No. PART 1). https://doi.org/10.1007/978-3-642-12307-8_19