Spatio-temporal background models for object detection

Satoshi Yoshinaga, Yosuke Nonaka, Atsushi Shimada, Hajime Nagahara, Rin-Ichiro Taniguchi

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

One of the fundamental problems in computer vision is detecting regions or objects of interest from an image sequence. Background subtraction, which removes a background image from the input image, is widely used for detecting foreground objects in practical applications, since it enables us to detect foreground objects without any previous knowledge of them. However, simple background subtraction often detects not only foreground objects but also a lot of noise regions, because it is quite sensitive to background changes. In general, background changes which occur in outdoor scenes can be mainly classified into two types: • Illumination changes – changes caused by lighting conditions such as the sun rising, setting, or being blocked by clouds, • Dynamic changes – changes caused by the swaying motion of tree branches, leaves and grass, fleeting cloud, waves on water and so on.

Original languageEnglish
Title of host publicationBackground Modeling and Foreground Detection for Video Surveillance
PublisherCRC Press
Pages13-1-13-20
ISBN (Electronic)9781482205381
ISBN (Print)9781482205374
DOIs
Publication statusPublished - Jan 1 2014

Fingerprint

Object Detection
Lighting
Background Subtraction
Sun
Computer vision
Image Sequence
Model
Computer Vision
Water
Illumination
Leaves
Branch
Motion
Object
Background
Object detection

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Engineering(all)
  • Mathematics(all)

Cite this

Yoshinaga, S., Nonaka, Y., Shimada, A., Nagahara, H., & Taniguchi, R-I. (2014). Spatio-temporal background models for object detection. In Background Modeling and Foreground Detection for Video Surveillance (pp. 13-1-13-20). CRC Press. https://doi.org/10.1201/b17223

Spatio-temporal background models for object detection. / Yoshinaga, Satoshi; Nonaka, Yosuke; Shimada, Atsushi; Nagahara, Hajime; Taniguchi, Rin-Ichiro.

Background Modeling and Foreground Detection for Video Surveillance. CRC Press, 2014. p. 13-1-13-20.

Research output: Chapter in Book/Report/Conference proceedingChapter

Yoshinaga, S, Nonaka, Y, Shimada, A, Nagahara, H & Taniguchi, R-I 2014, Spatio-temporal background models for object detection. in Background Modeling and Foreground Detection for Video Surveillance. CRC Press, pp. 13-1-13-20. https://doi.org/10.1201/b17223
Yoshinaga S, Nonaka Y, Shimada A, Nagahara H, Taniguchi R-I. Spatio-temporal background models for object detection. In Background Modeling and Foreground Detection for Video Surveillance. CRC Press. 2014. p. 13-1-13-20 https://doi.org/10.1201/b17223
Yoshinaga, Satoshi ; Nonaka, Yosuke ; Shimada, Atsushi ; Nagahara, Hajime ; Taniguchi, Rin-Ichiro. / Spatio-temporal background models for object detection. Background Modeling and Foreground Detection for Video Surveillance. CRC Press, 2014. pp. 13-1-13-20
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