Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-5/W6, 65-71, 2015
http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-5-W6/65/2015/
doi:10.5194/isprsarchives-XL-5-W6-65-2015
© Author(s) 2015. This work is distributed
under the Creative Commons Attribution 3.0 License.
 
18 May 2015
DIFFUSION BACKGROUND MODEL FOR MOVING OBJECTS DETECTION
B. V. Vishnyakov, S. V. Sidyakin, and Y. V. Vizilter 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.
Conference paper (PDF, 936 KB)


Citation: Vishnyakov, B. V., Sidyakin, S. V., and Vizilter, Y. V.: DIFFUSION BACKGROUND MODEL FOR MOVING OBJECTS DETECTION, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-5/W6, 65-71, doi:10.5194/isprsarchives-XL-5-W6-65-2015, 2015.

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