Object detection under varying illumination based on adaptive background modeling considering spatial locality

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

doi:10.1007/978-3-540-92957-4_56

Object detection under varying illumination based on adaptive background modeling considering spatial locality

Tatsuya Tanaka, Atsushi Shimada, Daisaku Arita, Rin Ichiro Taniguchi

Research output: Contribution to journal › Conference article › peer-review

14 Citations (Scopus)

Abstract

We propose a new method for background modeling. Our method is based on the two complementary approaches. One uses the probability density function(PDF) to approximate background model. The PDF is estimated non-parametrically by using Parzen density estimation. And foreground object is detected based on the estimated PDF. The other method is based on the evaluation of the local texture at pixel-level resolution while reducing the effects of variations in lighting. Fusing their approach realize robust object detection under varying illumination. Several experiments show the effectiveness of our approach.

Original language	English
Pages (from-to)	645-656
Number of pages	12
Journal	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	5414 LNCS
DOIs	https://doi.org/10.1007/978-3-540-92957-4_56
Publication status	Published - 2009
Event	3rd Pacific Rim Symposium on Image and Video Technology, PSIVT 2009 - Tokyo, Japan Duration: Jan 13 2009 → Jan 16 2009

All Science Journal Classification (ASJC) codes

Theoretical Computer Science
Computer Science(all)

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10.1007/978-3-540-92957-4_56

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Tanaka, T., Shimada, A., Arita, D., & Taniguchi, R. I. (2009). Object detection under varying illumination based on adaptive background modeling considering spatial locality. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 5414 LNCS, 645-656. https://doi.org/10.1007/978-3-540-92957-4_56

Object detection under varying illumination based on adaptive background modeling considering spatial locality. / Tanaka, Tatsuya; Shimada, Atsushi; Arita, Daisaku et al.
In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 5414 LNCS, 2009, p. 645-656.

Research output: Contribution to journal › Conference article › peer-review

Tanaka, T, Shimada, A, Arita, D & Taniguchi, RI 2009, 'Object detection under varying illumination based on adaptive background modeling considering spatial locality', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 5414 LNCS, pp. 645-656. https://doi.org/10.1007/978-3-540-92957-4_56

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Object detection under varying illumination based on adaptive background modeling considering spatial locality

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