Object detection based on spatiotemporal background models

@article{Yoshinaga2014ObjectDB,
  title={Object detection based on spatiotemporal background models},
  author={Satoshi Yoshinaga and A. Shimada and H. Nagahara and R. Taniguchi},
  journal={Comput. Vis. Image Underst.},
  year={2014},
  volume={122},
  pages={84-91}
}
  • Satoshi Yoshinaga, A. Shimada, +1 author R. Taniguchi
  • Published 2014
  • Computer Science
  • Comput. Vis. Image Underst.
  • Abstract We present a robust background model for object detection and its performance evaluation using the database of the Background Models Challenge (BMC). Background models should detect foreground objects robustly against background changes, such as “illumination changes” and “dynamic changes”. In this paper, we propose two types of spatiotemporal background modeling frameworks that can adapt to illumination and dynamic changes in the background. Spatial information can be used to absorb… CONTINUE READING
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