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

Tatsuya Tanaka; Atsushi Shimada; Rin Ichiro Taniguchi; Takayoshi Yamashita; Daisaku Arita

doi:10.1007/978-3-642-12307-8_19

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 proceeding › Conference contribution

9 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 language	English
Title of host publication	Computer Vision, ACCV 2009 - 9th Asian Conference on Computer Vision, Revised Selected Papers
Pages	201-202
Number of pages	2
Edition	PART 1
DOIs	https://doi.org/10.1007/978-3-642-12307-8_19
Publication status	Published - 2010
Event	9th Asian Conference on Computer Vision, ACCV 2009 - Xi'an, China Duration: Sept 23 2009 → Sept 27 2009

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 1
Volume	5994 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	9th Asian Conference on Computer Vision, ACCV 2009
Country/Territory	China
City	Xi'an
Period	9/23/09 → 9/27/09

All Science Journal Classification (ASJC) codes

Theoretical Computer Science
Computer Science(all)

Access to Document

10.1007/978-3-642-12307-8_19

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

Towards robust object detection : Integrated background modeling based on spatio-temporal features. / Tanaka, Tatsuya; Shimada, Atsushi ; Taniguchi, Rin Ichiro et al.

Computer Vision, ACCV 2009 - 9th Asian Conference on Computer Vision, Revised Selected Papers. PART 1. ed. 2010. p. 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).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Tanaka, T, Shimada, A , Taniguchi, RI, 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 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 1, vol. 5994 LNCS, pp. 201-202, 9th Asian Conference on Computer Vision, ACCV 2009, Xi'an, China, 9/23/09. https://doi.org/10.1007/978-3-642-12307-8_19

Tanaka T, Shimada A , Taniguchi RI, Yamashita T, Arita D. 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. 2010. p. 201-202. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1). doi: 10.1007/978-3-642-12307-8_19

Tanaka, Tatsuya ; Shimada, Atsushi ; Taniguchi, Rin Ichiro et al. / Towards robust object detection : Integrated background modeling based on spatio-temporal features. Computer Vision, ACCV 2009 - 9th Asian Conference on Computer Vision, Revised Selected Papers. PART 1. ed. 2010. pp. 201-202 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1).

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

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