Volume XLI-B3
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B3, 535-541, 2016
https://doi.org/10.5194/isprs-archives-XLI-B3-535-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B3, 535-541, 2016
https://doi.org/10.5194/isprs-archives-XLI-B3-535-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

  09 Jun 2016

09 Jun 2016

MUTUAL COMPARATIVE FILTERING FOR CHANGE DETECTION IN VIDEOS WITH UNSTABLE ILLUMINATION CONDITIONS

Sergey V. Sidyakin, Boris V. Vishnyakov, Yuri V. Vizilter, and Nikolay I. Roslov Sergey V. Sidyakin et al.
  • State Research Institute of Aviation Systems (FGUP GosNIIAS), Moscow, Russia

Keywords: Change detection, moving object detection, illumination changes, mutual comparative filters

Abstract. In this paper we propose a new approach for change detection and moving objects detection in videos with unstable, abrupt illumination changes. This approach is based on mutual comparative filters and background normalization. We give the definitions of mutual comparative filters and outline their strong advantage for change detection purposes. Presented approach allows us to deal with changing illumination conditions in a simple and efficient way and does not have drawbacks, which exist in models that assume different color transformation laws. The proposed procedure can be used to improve a number of background modelling methods, which are not specifically designed to work under illumination changes.