Multi-layered background modeling for complex environment surveillance

Satoshi Yoshinaga, Atsushi Shimada, Hajime Nagahara, Rin Ichiro Taniguchi, Koichiro Kajitani, Takeshi Naito

研究成果: Contribution to conferencePaper査読

1 被引用数 (Scopus)

抄録

Many background models have been proposed to adapt to 'illumination changes' and 'dynamic changes' such as swaying motion of tree branches. However, the problem of background maintenance in complex environment, where foreground objects pass in front of stationary objects which cease moving, is still far from being completely solved. To address this problem, we propose a framework for multi-layered background modeling, in which we conserve the background models for stationary objects hierarchically in addition to the one for the initial background. To realize this framework, we also propose a spatio-temporal background model based on the similarity in the intensity changes among~pixels. Experimental results on complex scenes, such as a bus stop and an intersection, show that our proposed method can adapt to both appearances and disappearances of stationary objects thanks to the multi-layered background modeling framework.

本文言語英語
ページ278-283
ページ数6
DOI
出版ステータス出版済み - 2013
イベント2013 2nd IAPR Asian Conference on Pattern Recognition, ACPR 2013 - Naha, Okinawa, 日本
継続期間: 11 5 201311 8 2013

その他

その他2013 2nd IAPR Asian Conference on Pattern Recognition, ACPR 2013
Country日本
CityNaha, Okinawa
Period11/5/1311/8/13

All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition

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