The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XL-5/W6
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-5/W6, 65–71, 2015
https://doi.org/10.5194/isprsarchives-XL-5-W6-65-2015
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-5/W6, 65–71, 2015
https://doi.org/10.5194/isprsarchives-XL-5-W6-65-2015

  18 May 2015

18 May 2015

DIFFUSION BACKGROUND MODEL FOR MOVING OBJECTS DETECTION

B. V. Vishnyakov, S. V. Sidyakin, and Y. V. Vizilter B. V. Vishnyakov et al.
  • State Research Institute of Aviation Systems (FGUP GosNIIAS), Moscow, Russia

Keywords: Background modelling, movement detection, diffusion maps, regression, LBP descriptor

Abstract. In this paper, we propose a new approach for moving objects detection in video surveillance systems. It is based on construction of the regression diffusion maps for the image sequence. This approach is completely different from the state of the art approaches. We show that the motion analysis method, based on diffusion maps, allows objects that move with different speed or even stop for a short while to be uniformly detected. We show that proposed model is comparable to the most popular modern background models. We also show several ways of speeding up diffusion maps algorithm itself.